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  • 1.
    Al Nahas, Beshr
    et al.
    Swedish Institute of Computer Science.
    Duquennoy, Simon
    Swedish Institute of Computer Science.
    Iyer, Venkatraman
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Low-Power Listening Goes Multi-Channel2014In: 2014 IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (IEEE DCOSS 2014), 2014, p. 2-9Conference paper (Refereed)
    Abstract [en]

    Exploiting multiple radio channels for communicationhas been long known as a practical way to mitigateinterference in wireless settings. In Wireless Sensor Networks,however, multichannel solutions have not reached their fullpotential: the MAC layers included in TinyOS or the ContikiOS for example are mostly single-channel. The literature offersa number of interesting solutions, but experimental results wereoften too few to build confidence. We propose a practical extensionof low-power listening, MiCMAC, that performs channel hopping,operates in a distributed way, and is independent of upper layersof the protocol stack. The above properties make it easy todeploy in a variety of scenarios, without any extra configuration/scheduling/channelselection hassle. We implement our solutionin Contiki and evaluate it in a 97-node testbed while runninga complete, out-of-the-box low-power IPv6 communication stack(UDP/RPL/6LoWPAN). Our experimental results demonstrateincreased resilience to emulated WiFi interference (e.g., data yieldkept above 90% when ContikiMAC drops in the 40% range). In noiseless environments, MiCMAC keeps the overhead low incomparison to ContikiMAC, achieving performance as high as 99% data yield along with sub-percent duty cycle and sub-secondlatency for a 1-minute inter-packet interval data collection.

  • 2. Alonso, Juan M.
    et al.
    Nordhamn, Amanda
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Olofsson, Simon
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Bounds on the lifetime of wireless sensor networks with lossy links and directional antennas2016In: Wireless Network Performance Enhancement via Directional Antennas: Models, Protocols, and Systems, Boca Raton, FL: CRC Press, 2016, p. 329-361Chapter in book (Refereed)
  • 3.
    Alonso, Juan M.
    et al.
    Inst. de Cienc. Basicas, ICB Univ. Nac. de Cuyo, Cuyo, Argentina.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. SICS Swedish ICT, Kista.
    Varshney, Ambuj
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Bounds on the Lifetime of WSNs2013Conference paper (Refereed)
  • 4.
    Aris, Ahmet
    et al.
    Istanbul Technical University.
    Oktuğ, Sema
    Istanbul Technical University.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Security of Internet of Things for a Reliable Internet of Services2018In: Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools / [ed] Ivan Ganchev, R. D. van der Mei, Hans van den Berg, Cham , 2018Chapter in book (Refereed)
  • 5.
    Asan, Noor Badariah
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics. Universiti Teknikal Malaysia Melaka, Melaka Malaysia.
    Carlos, Pérez Penichet
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Redzwan, Syaiful
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Noreland, Daniel
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
    Hassan, Emadeldeen
    Umeå University.
    Rydberg, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Blokhuis, Taco
    Maastricht University Medical Center+, Netherlands.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Augustine, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Data Packet Transmission through Fat Tissue for Wireless Intra-Body Networks2017In: IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, ISSN 2469-7249Article in journal (Refereed)
    Abstract [en]

    This work explores high data rate microwave communication through fat tissue in order to address the wide bandwidth requirements of intra-body area networks. We have designed and carried out experiments on an IEEE 802.15.4 based WBAN prototype by measuring the performance of the fat tissue channel in terms of data packet reception with respect to tissue length and power transmission. This paper proposes and demonstrates a high data rate communication channel through fat tissue using phantom and ex-vivo environments. Here, we achieve a data packet reception of approximately 96 % in both environments. The results also show that the received signal strength drops by ~1 dBm per 10 mm in phantom and ~2 dBm per 10 mm in ex-vivo. The phantom and ex-vivo experimentations validated our approach for high data rate communication through fat tissue for intrabody network applications. The proposed method opens up new opportunities for further research in fat channel communication. This study will contribute to the successful development of high bandwidth wireless intra-body networks that support high data rate implanted, ingested, injected, or worn devices

  • 6.
    Asan, Noor Badariah
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics. Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka.
    Hassan, Emadeldeen
    Perez, Mauricio D.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Joseph, Laya
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Berggren, Martin
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Augustine, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Fat-intrabody communication at 5.8 GHz including impacts of dynamics body movementsManuscript (preprint) (Other academic)
  • 7.
    Asan, Noor Badariah
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics. Univ Tekn Malaysia Melaka, Fac Elect & Comp Engn, Durian Tunggal 76100, Malaysia.
    Hassan, Emadeldeen
    Umea Univ, Dept Comp Sci, S-90187 Umea, Sweden;Menoufia Univ, Dept Elect & Elect Commun, Menoufia 32952, Egypt.
    Perez, Mauricio David
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Shah, Syaiful Redzwan Mohd
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Velander, Jacob
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Blokhuis, Taco J.
    Maastricht Univ, Dept Surg, Med Ctr, NL-6229 HX Maastricht, Netherlands.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. ¨.
    Augustine, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Assessment of Blood Vessel Effect on Fat-Intrabody Communication Using Numerical and Ex-Vivo Models at 2.45 GHZ2019In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 89886-89900Article in journal (Refereed)
    Abstract [en]

    The potential offered by the intra-body communication (IBC) over the past few years has resulted in a spike of interest for the topic, specifically for medical applications. Fat-IBC is subsequently a novel alternative technique that utilizes fat tissue as a communication channel. This work aimed to identify such transmission medium and its performance in varying blood-vessel systems at 2.45 GHz, particularly in the context of the IBC and medical applications. It incorporated three-dimensional (3D) electromagnetic simulations and laboratory investigations that implemented models of blood vessels of varying orientations, sizes, and positions. Such investigations were undertaken by using ex-vivo porcine tissues and three blood-vessel system configurations. These configurations represent extreme cases of real-life scenarios that sufficiently elucidated their principal influence on the transmission. The blood-vessel models consisted of ex-vivo muscle tissues and copper rods. The results showed that the blood vessels crossing the channel vertically contributed to 5.1 dB and 17.1 dB signal losses for muscle and copper rods, respectively, which is the worst-case scenario in the context of fat-channel with perturbance. In contrast, blood vessels aligned-longitudinally in the channel have less effect and yielded 4.5 dB and 4.2 dB signal losses for muscle and copper rods, respectively. Meanwhile, the blood vessels crossing the channel horizontally displayed 3.4 dB and 1.9 dB signal losses for muscle and copper rods, respectively, which were the smallest losses among the configurations. The laboratory investigations were in agreement with the simulations. Thus, this work substantiated the fat-IBC signal transmission variability in the context of varying blood vessel configurations.

  • 8.
    Asan, Noor Badariah
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Hassan, Emadeldeen
    Umea Univ, Dept Comp Sci, S-90187 Umea, Sweden;Menoufia Univ, Dept Elect & Elect Commun, Menoufia 32952, Egypt.
    Velander, Jacob
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Redzwan, Syaiful
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Noreland, Daniel
    Umea Univ, Dept Comp Sci, S-90187 Umea, Sweden.
    Blokhuis, Taco J.
    Maastricht Univ, Med Ctr, Dept Surg, NL-6229 HX Maastricht, Netherlands.
    Wadbro, Eddie
    Umea Univ, Dept Comp Sci, S-90187 Umea, Sweden.
    Berggren, Martin
    Umea Univ, Dept Comp Sci, S-90187 Umea, Sweden.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Augustine, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Characterization of the Fat Channel for Intra-Body Communication at R-Band Frequencies2018In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 9, article id 2752Article in journal (Refereed)
    Abstract [en]

    In this paper, we investigate the use of fat tissue as a communication channel between in-body, implanted devices at R-band frequencies (1.7-2.6 GHz). The proposed fat channel is based on an anatomical model of the human body. We propose a novel probe that is optimized to efficiently radiate the R-band frequencies into the fat tissue. We use our probe to evaluate the path loss of the fat channel by studying the channel transmission coefficient over the R-band frequencies. We conduct extensive simulation studies and validate our results by experimentation on phantom and ex-vivo porcine tissue, with good agreement between simulations and experiments. We demonstrate a performance comparison between the fat channel and similar waveguide structures. Our characterization of the fat channel reveals propagation path loss of similar to 0.7 dB and similar to 1.9 dB per cm for phantom and ex-vivo porcine tissue, respectively. These results demonstrate that fat tissue can be used as a communication channel for high data rate intra-body networks.

  • 9.
    Asan, Noor Badariah
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Noreland, Daniel
    Department of Computing Science, Umeå University, SE-901 87 Umeå, Sweden.
    Hassan, Emadeldeen
    Department of Computing Science, Umeå University, SE-901 87 Umeå, Sweden; Department of Electronics and Electrical Communications, Menoufia University, 32952 Menouf, Egypt.
    Redzwan, Syaiful
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Rydberg, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Blokhuis, Taco J.
    Department of Surgery, Maastricht University Medical Center+, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands.
    Carlsson, Per-Ola
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Transplantation and regenerative medicine.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Augustine, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Intra-body microwave communication through adipose tissue2017In: Healthcare Technology Letters, E-ISSN 2053-3713, Vol. 4, no 4, p. 115-121Article in journal (Refereed)
  • 10.
    Asan, Noor Badariah
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Redzwan, Syaiful
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Rydberg, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Augustine, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Noreland, Daniel
    Hassan, Emadeldeen
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Human fat tissue: A microwave communication channel2017In: Proc. 1st MTT-S International Microwave Bio Conference, IEEE, 2017Conference paper (Refereed)
    Abstract [en]

    In this paper, we present an approach for communication through human body tissue in the R-band frequency range. This study examines the ranges of microwave frequencies suitable for intra-body communication. The human body tissues are characterized with respect to their transmission properties using simulation modeling and phantom measurements. The variations in signal coupling with respect to different tissue thicknesses are studied. The simulation and phantom measurement results show that electromagnetic communication in the fat layer is viable with attenuation of approximately 2 dB per 20 mm. 

  • 11.
    Asan, Noor Badariah
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Velander, Jacob
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Redzwan, Syaiful
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Augustine, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Hassan, Emadeldeen
    Department of Computing Science, Umeå University, Umeå, Sweden.
    Noreland, Daniel
    Department of Computing Science, Umeå University, Umeå, Sweden.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Blokhuis, Taco J.
    Department of Surgery, Maastricht University Medical Center+, Maastricht, The Netherland.
    Reliability of the fat tissue channel for intra-body microwave communication2017In: 2017 IEEE Conference on Antenna Measurements & Applications (CAMA), IEEE, 2017, p. 310-313Conference paper (Refereed)
    Abstract [en]

    Recently, the human fat tissue has been proposed as a microwave channel for intra-body sensor applications. In this work, we assess how disturbances can prevent reliable microwave propagation through the fat channel. Perturbants of different sizes are considered. The simulation and experimental results show that efficient communication through the fat channel is possible even in the presence of perturbants such as embedded muscle layers and blood vessels. We show that the communication channel is not affected by perturbants that are smaller than 15 mm cube.

  • 12.
    Asan, Noor Badariah
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Velander, Jacob
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Redzwan, Syaiful
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Perez, Mauricio D.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Hassan, Emadeldeen
    Umeå University, Department of Computing Science, Umeå, Sweden.
    Blokhuis, Taco J.
    Maastricht University Medical Center, Department of Surgery, Maastricht, The Netherland.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Augustine, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Effect of thickness inhomogeneity in fat tissue on in-body microwave propagation2018In: 2018 IEEE International Microwave Biomedical Conference (IMBioC), Philadelphia, USA: IEEE, 2018, p. 136-138Conference paper (Refereed)
    Abstract [en]

    In recent studies, it has been found that fat tissue can be used as a microwave communication channel. In this article, the effect of thickness inhomogeneities in fat tissues on the performance of in-body microwave communication at 2.45 GHz is investigated using phantom models. We considered two models namely concave and convex geometrical fat distribution to account for the thickness inhomogeneities. The thickness of the fat tissue is varied from 5 mm to 45 mm and the Gap between the transmitter/receiver and the starting and ending of concavity/convexity is varied from 0 mm to 25 mm for a length of 100 mm to study the behavior in the microwave propagation. The phantoms of different geometries, concave and convex, are used in this work to validate the numerical studies. It was noticed that the convex model exhibited higher signal coupling by an amount of 1 dB (simulation) and 2 dB (measurement) compared to the concave model. From the study, it was observed that the signal transmission improves up to 30 mm thick fat and reaches a plateau when the thickness is increased further.

  • 13. Aschenbruck, Nils
    et al.
    Ernst, Raphael
    Schwamborn, Matthias
    Österlind, Fredrik
    SICS.
    Voigt, Thiemo
    SICS.
    Adding Mobility to Wireless Sensor Network Simulations: Poster Abstract2010Conference paper (Refereed)
  • 14.
    Bagci, Ibrahim Ethem
    et al.
    Univ Lancaster, Sch Comp & Commun, Lancaster, England.
    Raza, Shahid
    SICS Swedish ICT, Kista, Sweden.
    Roedig, Utz
    Univ Lancaster, Sch Comp & Commun, Lancaster, England.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. SICS Swedish ICT, Kista, Sweden.
    Fusion: Coalesced Confidential Storage and Communication Framework for the IoT2016In: Security and Communication Networks, ISSN 1939-0114, E-ISSN 1939-0122, Vol. 9, no 15, p. 2656-2673Article in journal (Refereed)
    Abstract [en]

    Comprehensive security mechanisms are required for a successful implementation of the Internet of Things (IoT). Existing solutions focus mainly on securing the communication links between Internet hosts and IoT devices. However, as most IoT devices nowadays provide vast amounts of flash storage space, it is as well required to consider storage security within a comprehensive security framework. Instead of developing independent security solutions for storage and communication, we propose Fusion, a framework that provides coalesced confidential storage and communication. Fusion uses existing secure communication protocols for the IoT such as Internet protocol security (IPsec) and datagram transport layer security (DTLS) and re-uses the defined communication security mechanisms within the storage component. Thus, trusted mechanisms developed for communication security are extended into the storage space. Notably, this mechanism allows us to transmit requested data directly from the file system without decrypting read data blocks and then re-encrypting these for transmission. Thus, Fusion provides benefits in terms of processing speed and energy efficiency, which are important aspects for resource-constrained IoT devices. This paper describes the Fusion architecture and its instantiation for IPsec-based and DTLS-based systems. We describe Fusion's implementation and evaluate its storage overheads, communication performance, and energy consumption.

  • 15.
    Bagci, Ibrahim
    et al.
    Lancaster University.
    Raza, Shahid
    SICS.
    Chung, Antony
    Univ. of Lancaster.
    Roedig, Utz
    Univ. of Lancaster.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Combined Secure Storage and Communication for the Internet of Things2013In: IEEE International Conference on Sensing, Communication and Networking (IEEE SECON), 2013Conference paper (Refereed)
  • 16.
    Bavier, Andy
    et al.
    Princeton University.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Wawrzoniak, Mike
    Princeton University.
    Peterson, Larry
    Princeton University.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    SILK: Scout Paths in the Linux Kernel2001Report (Other academic)
  • 17. Boano, Carlo Alberto
    et al.
    Brown, James
    He, Zhitao
    SICS.
    Utz, Roedig
    Voigt, Thiemo
    SICS.
    Low-power radio communication in industrial outdoor deployments: the impact of weather conditions and ATEX-compliance2009Conference paper (Refereed)
  • 18. Boano, Carlo Alberto
    et al.
    He, Zhitao
    SICS.
    Li, Yafei
    Voigt, Thiemo
    SICS.
    Zuniga, Marco
    Willig, Andreas
    Controllable radio interference for experimental and testing purposes in wireless sensor networks2009Conference paper (Refereed)
  • 19. Boano, Carlo Alberto
    et al.
    Römer, Kay
    He, Zhitao
    SICS.
    Voigt, Thiemo
    SICS.
    Zuniga, Marco
    Willig, Andreas
    Demo Abstract: Generation of Controllable Radio Interference for Protocol Testing in Wireless Sensor Networks2009Conference paper (Refereed)
  • 20. Boano, Carlo Alberto
    et al.
    Tsiftes, Nicolas
    SICS.
    Voigt, Thiemo
    SICS.
    Brown, James
    Utz, Roedig
    The Impact of Temperature on Outdoor Industrial Sensornet Applications2010In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, Vol. 6, no 3, p. 451-459Article in journal (Refereed)
  • 21. Boano, Carlo Alberto
    et al.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Noda, Claro
    Römer, Kay
    Zuniga, Marco
    JamLab: Augmenting sensornet testbeds with realistic and controlled interference generation2011In: IPSN, 2011, p. 175-186Conference paper (Refereed)
  • 22.
    Boano, Carlo Alberto
    et al.
    University of Lübeck.
    Wennerström, Hjalmar
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Zúñiga, Marco Antonio
    TU Delft.
    Brown, James
    Lancaster University.
    Keppitiyagama, Chamath
    Swedish Institute of Computer Science.
    Oppermann, Felix Jonathan
    University of Lübeck.
    Roedig, Utz
    Lancaster University.
    Nordén, Lars-Åke
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Römer, Kay
    University of Lübeck.
    Hot Packets: A systematic evaluation of the effect of temperature on low power wireless transceivers2013In: Proc. 5th Extreme Conference on Communication, New York: ACM Press, 2013, p. 7-12Conference paper (Refereed)
    Abstract [en]

    Temperature is known to have a significant effect on the performance of radio transceivers: the higher the temperature, the lower the quality of links. Analysing this effect is particularly important in sensor networks because several applications are exposed to harsh environmental conditions. Daily or hourly changes in temperature can dramatically reduce the throughput, increase the delay, or even lead to network partitions. A few studies have quantified the impact of temperature on low-power wireless links, but only for a limited temperature range and on a single radio transceiver. Building on top of these preliminary observations, we design a low-cost experimental infrastructure to vary the onboard temperature of sensor nodes in a repeatable fashion, and we study systematically the impact of temperature on various sensornet platforms. We show that temperature affects transmitting and receiving nodes differently, and that all platforms follow a similar trend that can be captured in a simple first-order model. This work represents an initial stepping stone aimed at predicting the performance of a network considering the particular temperature profile of a given environment.

  • 23. Boano, Carlo Alberto
    et al.
    Zuniga, Marco
    Voigt, Thiemo
    SICS.
    Willig, Andreas
    Römer, Kay
    The Triangle Metric: Fast Link Quality Estimation for Mobile Wireless Sensor Networks: (Invited Paper)2010Conference paper (Refereed)
  • 24. Brown, J.
    et al.
    Roedig, U.
    O'Donovan, T.
    Sreenan, C. J.
    He, Z.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Pottner, B.
    Wolf, L.
    Klein, A.
    Silva, J. Sa
    Vassiliou, V.
    doO, J.
    GINSENG: Performance Control in Wireless Sensor Networks2011In: 8th European Conference on Wireless Sensor Networks (EWSN’11), 2011Conference paper (Refereed)
  • 25. Brown, James
    et al.
    McCarthy, Ben
    Roedig, Utz
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Sreenan, Cormac J.
    BurstProbe: Debugging Time-Critical Data Delivery in Wireless Sensor Networks2011In: 8th European Conference on Wireless Sensor Networks (EWSN’11), 2011Conference paper (Refereed)
  • 26.
    Carlos, Perez Penichet
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Hermans, Frederik
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Varshney, Ambuj
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Augmenting IoT networks with backscatter-enabled passive sensor tags2016In: Proceedings of the 3rd Workshop on Hot Topics in Wireless, 2016, p. 23-27Conference paper (Refereed)
    Abstract [en]

    The sensing modalities available in an Internet-of-Things (IoT) network are usually fixed before deployment, when the operator selects a suitable IoT platform. Retrofitting a deployment with additional sensors can be cumbersome, because it requires either modifying the deployed hardware or adding new devices that then have to be maintained. In this paper, we present our vision and work towards passive sensor tags: battery-free devices that allow to augment existing IoT deployments with additional sensing capabilities without the need to modify the existing deployment. Our passive sensor tags use backscatter transmissions to communicate with the deployed network. Crucially, they do this in a way that is compatible with the deployed network's radio protocol, and without the need for additional infrastructure. We present an FPGA-based prototype of a passive sensor tag that can communicate with unmodified 802.15.4 IoT devices. Our initial experiments with the prototype support the feasibility of our approach. We also lay out the next steps towards fully realizing the vision of passive sensor tags.

  • 27.
    Carlos, Perez Penichet
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Noda, Claro
    Mid-Sweden University, Sweden.
    Varshney, Ambuj
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Battery-free 802.15. 4 Receiver2018In: 7th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), IEEE, 2018Conference paper (Refereed)
    Abstract [en]

    We present the architecture of an 802.15.4 receiver that, for the first time, operates at a few hundred microwatts, enabling new battery-free applications. To reach the required micro-power consumption, the architecture diverges from that of commodity receivers in two important ways. First, it offloads the power-hungry local oscillator to an external device, much like backscatter transmitters do. Second, we avoid the energy cost of demodulating a phase-modulated signal by treating 802.15.4 as a frequency-modulated one, which allows us to receive with a simple passive detector and an energy-efficient thresholding circuit. We describe a prototype that can receive 802.15.4 frames with a power consumption of 361 μW. Our receiver prototype achieves sufficient communication range to integrate with deployed wireless sensor networks (WSNs). We illustrate this integration by pairing the prototype with an 802.15.4 backscatter transmitter and integrating it with unmodified 802.15.4 sensor nodes running the TSCH and Glossy protocols.

  • 28.
    Carlos, Perez Penichet
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Noda, Claro
    Mid-Sweden University, Sweden.
    Varshney, Ambuj
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Demo Abstract: Battery-Free 802.15.4 Receiver2018In: 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), IEEE, 2018, p. 130-131Conference paper (Refereed)
    Abstract [en]

    We present the architecture for an 802.15.4 receiver that enables battery-free operation. To reach micro-power consumption, the architecture diverges from that of commodity receivers in the following ways: First, similar to backscatter transmitters, it offloads the power-hungry local oscillator to an external device. Second, we avoid the energy cost of demodulating a phase-modulated signal by treating 802.15.4 as a frequency-modulated one, allowing us to receive with a simple passive detector and an energy-efficient thresholding circuit. We demonstrate an off-the-shelf prototype of our receiver receives 802.15.4 from a distance of 470 cm with the carrier generator 30 cm away. This range is sufficient to integrate with deployed wireless sensor networks (WSNs). We demonstrate this integration by pairing our receiver with a 802.15.4 backscatter transmitter and integrating it with unmodified commodity sensor nodes running the TSCH protocol.

  • 29.
    Carlos, Perez Penichet
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. Uppsala Univ, Uppsala, Sweden.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. RISE SICS, Lulea, Sweden.
    Carrier Scheduling in IoT Networks with Interoperable Battery-free Backscatter Tags2019In: IPSN '19: Proceedings of the 2019 International Conference on Information Processing in Sensor Networks, Association for Computing Machinery (ACM), 2019, p. 329-330Conference paper (Refereed)
    Abstract [en]

    New battery-free backscatter tags that integrate with unmodified standard IoT devices can extend the latter's sensing capabilities in a scalable and cost effective way. Existing IoT nodes can provide the unmodulated carrier needed by the new nodes, avoiding the need for additional infrastructure. This, however, puts extra energetic demands on constrained IoT nodes while increasing interference and contention in the network. We use a slotted MAC protocol to guarantee synchronization between transmitters, receivers and carrier generators. We then express the slot allocation problem as a Constraint Optimization Problem (COP) that parallelizes interrogations to battery-free tags when they do not collide with each other and reuses carriers for multiple tags looking to minimize the total time and the number of carrier generators needed to interrogate a set of tags. In networks with sufficient battery-free nodes we obtain a 25% reduction in the number of necessary carriers and a 50% decrease in interrogation time in most cases; leading to significant energy savings, reduced collisions and improved latency.

  • 30.
    Carlos, Pérez Penichet
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Hermans, Frederik
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    On Limits of Constructive Interference in Backscatter Systems2017In: Global Internet of Things Summit (GIoTS), 2017, IEEE, 2017, p. 178-182Conference paper (Other academic)
    Abstract [en]

    Backscatter communication reduces the energy consumption of resource-constrained sensors and actuators by several orders of magnitude as it avoids the resource-consuming need to generate a radio wave. Many backscatter systems and applications suffer from low communication range. By exploiting the collective power of several tags that transmit the same data simultaneously, constructive interference may help to remedy this problem and increase the communication range. When several tags backscatter the same signal simultaneously it is not necessarily true that constructive interference occurs. As our theoretical results and previous work indicate the interference might also be destructive. Our experimental results on real hardware suggest that exploiting constructive interference to increase the communication range requires careful coordination which is difficult in decentralized settings.

  • 31. Casati, Fabio
    et al.
    Daniel, Florian
    Dantchev, Guenadi
    Eriksson, Joakim
    Finne, Niclas
    Karnouskos, Stamatis
    Montera, Patricio Moreno
    Mottola, Luca
    Oppermann, Felix Jonathan
    Picco, Gian Pietro
    Quartulli, Antonio
    Römer, Kay
    Spiess, Patrik
    Tranquillini, Stefano
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Towards business processes orchestrating the physical enterprise with wireless sensor networks2012In: ICSE, 2012, p. 1357-1360Conference paper (Refereed)
  • 32. Catalán Rivas, Victoria
    et al.
    Fröjd, Emil
    Holmberg, Tobias
    Ragnarsson, Felix
    Rick, Elsa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Corneo, Lorenzo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Varshney, Ambuj
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Rohner, Christian
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Environmental Control at the Edge2018Conference paper (Other academic)
  • 33.
    Daniel, Florian
    et al.
    Univ. of Trento.
    Eriksson, Joakim
    SICS.
    Finne, Niclas
    SICS.
    Fuchs, Harald
    SAP AG.
    Gaglione, Andrea
    Univ. of Trento.
    Karnouskos, Stamatis
    SAP AG.
    Moreno Montero, Patricio
    Luca, Mottola
    SICS and Politecnico di Milano.
    Oertel, Nina
    SAP AG.
    Oppermann, Felix
    Picco, Gian Pietro
    Univ. of Trento.
    Römer, Kay
    Spiess, Patrik
    SAP AG.
    Tranquillini, Stefano
    Univ. of Trento.
    Voigt, Thiemo
    SICS.
    makeSense: Real-world Business Processes through Wireless Sensor Networks2013Conference paper (Other academic)
  • 34.
    De Guglielmo, Domenico
    et al.
    Univ. of Pisa.
    Al Nahas, Beshr
    SICS.
    Duquennoy, Simon
    SICS.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. SICS, S-16429 Kista, Sweden.
    Anastasi, Giuseppe
    University of Pisa.
    Analysis and experimental evaluation of IEEE 802.15.4e TSCH CSMA-CA Algorithm2017In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 66, no 2, p. 1573-1588Article in journal (Refereed)
    Abstract [en]

    Time-slotted channel hopping (TSCH) is one of the medium access control (MAC) behavior modes defined in the IEEE 802.15.4e standard. It combines time-slotted access and channel hopping, thus providing predictable latency, energy efficiency, communication reliability, and high network capacity. TSCH provides both dedicated and shared links. The latter is special slots assigned to more than one transmitter, whose concurrent access is regulated by a carrier-sense multiple access with collision avoidance (CSMA-CA) algorithm. In this paper, we develop an analytical model of the TSCH CSMA-CA algorithm to predict the performance experienced by nodes when using shared links. The model allows for deriving a number of metrics, such as delivery probability, packet latency, and energy consumption of nodes. Moreover, it considers the capture effect (CE) that typically occurs in real wireless networks. We validate the model through simulation experiments and measurements in a real testbed. Our results show that the model is very accurate. Furthermore, we found that the CE plays a fundamental role as it can significantly improve the performance experienced by nodes.

  • 35.
    Di Lascio, Elena
    et al.
    Universit`a degli Studi Roma Tre, Italy.
    Varshney, Ambuj
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Thiemo, Voigt
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. SICS Swedish ICT, Uppsala, Sweden.
    Pérez-Penichet, Carlos
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Poster Abstract: LocaLight - A Battery-free PassiveLocalization System Using Visible Light2016Conference paper (Refereed)
    Abstract [en]

    Most existing indoor localization systems are battery-powered and use the changes in Radio Frequency (RF) signals to localize objects. In this paper, we present LocaLight: a battery-free indoor localization system that localizes objects using visible light by tracking the shadow they cast. By sensing a drop in the intensity of ambient light caused by the presence of a shadow, LocaLight localizes the object. Since the position of the shadow can be predicted, it is possible to localize the object in a sensitive area by carefully positioning the light sensors and the overhead lights. Our initial results suggest that LocaLight achieves an accuracy comparable to many of the state-of-the art solutions that use RF.

  • 36. Dron, Wilfried
    et al.
    Duquennoy, Simon
    SICS.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Hachicha, Khalil
    Garda, Patrick
    An Emulation-based Method for Lifetime Estimation of Wireless Sensor Networks2014Conference paper (Refereed)
  • 37. Dunkels, Adam
    et al.
    Feeney, Laura Marie
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Grönvall, Björn
    Voigt, Thiemo
    An integrated approach to developing sensor network solutions2004In: 2nd International Workshop on Sensor and Actor Network Protocols and Applications (SANPA'04), 2004Conference paper (Refereed)
  • 38.
    Dunkels, Adam
    et al.
    SICS.
    Finne, Niclas
    SICS.
    Eriksson, Joakim
    SICS.
    Voigt, Thiemo
    SICS.
    Runtimedynamic linking for reprogramming wireless sensor networks.2006In: Proceedings of the 4th International Conference on Embedded NetworkedSensor Systems (ACM SenSys 2006), Boulder, Colorado, USA,, 2006Conference paper (Refereed)
  • 39. Duquennoy, Simon
    et al.
    Landsiedel, Olaf
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Let the Tree Bloom: Scalable Opportunistic Routing with ORPL2013Conference paper (Refereed)
  • 40. Elvitigala, Charitha
    et al.
    Tennakoon, Eranda
    Hamza, Ayyoob
    Lokuge, Yasith
    De Zoysa, Kasun
    Keppitiyagama, Chamath
    Iyer, Venkat
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Hewage, Kasun
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. SICS Swedish ICT, Stockholm, Sweden.
    Towards a sensor system to tame the human elephant conflict2015In: Sensors Applications Symposium (SAS), IEEE, 2015, p. 169-172Conference paper (Refereed)
    Abstract [en]

    The human elephant conflict in Sri Lanka has been a cause of major concern over the past decade. Frequent clashes between wild elephants and villagers have resulted in severe damage to property, as well as loss of lives for both humans and elephants. Competition for space is the primary reason for conflict between humans and elephants. Elephants that escape from the wildlife national parks venture into villages creating destruction in their wake. To prevent such mishaps, a proper system is required to contain and monitor elephants in national parks. In this paper, we describe different approaches to detect elephants and possible ways of monitoring the national wildlife parks. We also elaborate on the advantages and limitations of each approach, and determine what sort of system is needed to tame the human elephant conflict.

  • 41.
    Eriksson, Gustav
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Varshney, Ambuj
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Rohner, Christian
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Dancila, Dragos
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.
    Towards Long-range Backscatter Communication with Tunnel Diode Reflection Amplifier2018Conference paper (Other academic)
  • 42.
    Eriksson, Joakim
    et al.
    RISE SICS.
    Finne, Niclas
    RISE SICS.
    Tsiftes, Nicolas
    RISE SICS.
    Duquennoy, Simon
    RISE SICS.
    Voigt, Thiemo
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. RISE SICS.
    Scaling RPL to Dense and Large Networks with Constrained Memory2018Conference paper (Refereed)
  • 43.
    Eriksson, Joakim
    et al.
    SICS.
    Österlind, Fredrik
    SICS.
    Finne, Niclas
    SICS.
    Dunkels, Adam
    SICS.
    Voigt, Thiemo
    SICS.
    Accurate power profiling for sensor network simulators2008In: Proceedings of the 8th Scandinavian Workshop on Wireless Ad-hoc & Sensor Networks, Stockholm, Sweden, May 2008, 2008Conference paper (Refereed)
  • 44.
    Eriksson, Joakim
    et al.
    Uppsala University.
    Österlind, Fredrik
    Uppsala University.
    Finne, Niclas
    Uppsala University.
    Dunkels, Adam
    Uppsala University.
    Voigt, Thiemo
    Uppsala University.
    Accurate Power Profiling for Sensor Network Simulators2008Conference paper (Refereed)
    Abstract [en]

    Power consumption is the most important metric in

    wireless sensor network research, but existing tools for measuring

    or estimating power consumption are either impractical or have

    unclear accuracy. We present a practical simulation-based tool

    for network-scale power estimation based on experience with

    Contiki's built-in power profiling mechanism, the COOJA sensor

    network simulator and the MSPSim sensor node emulator. We

    quantify the accuracy of the tool by comparing simulation results

    with experimental testbed results.

  • 45.
    Eriksson, Joakim
    et al.
    SICS.
    Österlind, Fredrik
    SICS.
    Finne, Niclas
    SICS.
    Dunkels, Adam
    SICS.
    Voigt, Thiemo
    SICS.
    Tsiftes, Nicolas
    SICS.
    Accurate, network-scale power profiling for sensor network simulators2009In: Proceedings of the 6th European Conference on Wireless Sensor Networks, EWSN 2009, Cork, Ireland, February 2009, 2009Conference paper (Refereed)
  • 46.
    Eriksson, Joakim
    et al.
    SICS.
    Österlind, Fredrik
    SICS.
    Finne, Niclas
    SICS.
    Tsiftes, Nicolas
    SICS.
    Dunkels, Adam
    SICS.
    Voigt, Thiemo
    SICS.
    Sauter, Robert
    Marron, Pedro
    Towards Interoperability Testing for Wireless Sensor Networks with COOJA/MSPSim: Demo Abstract2009Conference paper (Refereed)
  • 47.
    Eriksson, Joakim
    et al.
    SICS.
    Österlind, Fredrik
    SICS.
    Voigt, Thiemo
    SICS.
    Finne, Niclas
    SICS.
    Raza, Shahid
    Tsiftes, Nicolas
    SICS.
    Dunkels, Adam
    SICS.
    Demo abstract: accurate power profiling of sensornets with the COOJA/MSPSim simulator2009Conference paper (Refereed)
  • 48.
    Finne, Niclas
    et al.
    SICS.
    Eriksson, Joakim
    SICS.
    Dunkels, Adam
    SICS.
    Voigt, Thiemo
    SICS.
    Experiences from two sensor network deployments self-monitoring and self-configuration keys to success2008In: Proceedings of WWIC 2008, May 2008, 2008Conference paper (Refereed)
  • 49.
    Finne, Niclas
    et al.
    SICS.
    Eriksson, Joakim
    SICS.
    Tsiftes, Nicolas
    SICS.
    Dunkels, Adam
    SICS.
    Voigt, Thiemo
    SICS.
    Improving Sensornet Performance by Separating System Configuration from System Logic2010Conference paper (Refereed)
  • 50.
    Geletu, Biruk Silase
    et al.
    SICS.
    Mottola, Luca
    SICS.
    Voigt, Thiemo
    SICS.
    Österlind, Fredrik
    SICS.
    Modeling an Electronically Switchable Directional Antennafor Low-power Wireless Networks: Poster abstract2011Conference paper (Refereed)
1234 1 - 50 of 160
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