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  • 1. Enemark, Hans-Jacob
    et al.
    Zhang, Yue
    Dragoni, Nicola
    Orfanidis, Charalampos
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Energy-efficient fault-tolerant dynamic event region detection in wireless sensor networks2015In: Proc. 81st IEEE Vehicular Technology Conference, IEEE conference proceedings, 2015Conference paper (Refereed)
    Abstract [en]

    Fault-tolerant event detection is fundamental to wireless sensor network applications. Existing approaches usually adopt neighborhood collaboration for better detection accuracy,while need more energy consumption due to communication.Focusing on energy efficiency, this paper makes an improvement to a hybrid algorithm for dynamic event region detection, such asreal-time tracking of chemical leakage regions. Considering the characteristics of the moving away dynamic events, we propose areturn back condition for the hybrid algorithm from distributed neighborhood collaboration, in which a node makes its detection decision based on decisions received from its spatial and temporal neighbors, to local non-communicative decision making. The simulation results demonstrate that the improved algorithm doesnot degrade the detection accuracy of the original algorithm,while it has better energy efficiency with the number of messages exchanged in the network decreased.

  • 2.
    Fafoutis, Xenofon
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Di Mauro, Alessio
    Orfanidis, Charalampos
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Dragoni, Nicola
    Energy-efficient medium access control for energy harvesting communications2015In: IEEE transactions on consumer electronics, ISSN 0098-3063, E-ISSN 1558-4127, Vol. 61, no 4, p. 402-410Article in journal (Refereed)
    Abstract [en]

    While energy consumption is widely considered the primary challenge of wireless networked devices, energy harvesting emerges as a promising way of powering the Internet of Things (IoT). In the Medium Access Control (MAC) layer of the communication stack, energy harvesting introduces spatial and temporal uncertainty in the availability of energy. In this context, this paper focuses on the design and implementation of the MAC layer of wireless embedded systems that are powered by energy harvesting; providing novel protocol features and practical experiences to designers of consumer electronics who opt for tailoring their own protocol solutions instead of using the standards(1).

  • 3.
    Feeney, Laura Marie
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Orfanidis, Charalampos
    KTH Royal Inst Technol, Stockholm, Sweden.
    Jacobsson, Martin
    KTH Royal Inst Technol, Stockholm, Sweden.
    Gunningberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Preliminary Results on LoRaWAN and IEEE 802.15.4-SUN Interference2018In: SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor, New York: ACM Press, 2018, p. 430-431Conference paper (Other academic)
    Abstract [en]

    We present some preliminary results on LoRaWAN and IEEE 802.15.4-SUN interference in urban environments. The results are based on a simple simulation that is parameterized using PHY layer measurements of controlled interference scenarios.

  • 4.
    Jacobsson, Martin
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Orfanidis, Charalampos
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Using software-defined networking principles for wireless sensor networks2015In: Proc. 11th Swedish National Computer Networking Workshop, 2015Conference paper (Refereed)
  • 5.
    Orfanidis, Charalampos
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Computer Systems. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Robustness in low power wide area networks2018Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    During the past few years we have witnessed an emergence of Wide Area Networks in the Internet of Things area. There are several new technologies like LoRa, Wi-SUN, Sigfox, that offer long range communication and low power for low-bitrate applications. These new technologies enable new application scenarios, such as smart cities, smart agriculture, and many more. However, when these networks co-exist in the same frequency band, they may cause problems to each other since they are heterogeneous and independent. Therefore it is very likely to have frame collisions between the different networks.

    In this thesis we first explore how tolerant these networks are to Cross Technology Interference (CTI). CTI can be described as the interference from heterogeneous wireless technologies that share the same frequency band and is able to affect the robustness and reliability of the network. In particular, we select two of them, LoRa and Wi-SUN and carry out a series of experiments with real hardware using several configurations. In this way, we quantify the tolerance of cross technology interference of each network against the other as well as which configuration settings are important.

    The next thing we explored is how well channel sensing mechanisms can detect the other network technologies and how they can be improved. For exploring these aspects, we used the default Clear Channel Assessment (CCA) mechanism of Wi-SUN against LoRa interference and we evaluated how accurate it is. We also improved this mechanism in order to have higher accuracy detection against LoRa interference.

    Finally, we propose an architecture for WSNs which will enable flexible reconfiguration of the nodes. The idea is based on Software Defined Network (SDN) principles and could help on our case by reconfiguring a node in order to mitigate the cross-technology interference from other networks.

    List of papers
    1. Investigating interference between LoRa and IEEE 802.15.4g networks
    Open this publication in new window or tab >>Investigating interference between LoRa and IEEE 802.15.4g networks
    2017 (English)In: Proc. 13th International Conference on Wireless and Mobile Computing, Networking and Communications, IEEE, 2017, p. 441-448Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    IEEE, 2017
    National Category
    Communication Systems
    Identifiers
    urn:nbn:se:uu:diva-331851 (URN)10.1109/WiMOB.2017.8115772 (DOI)000419818000061 ()978-1-5386-3839-2 (ISBN)
    Conference
    WiMob 2017, October 9–11, Rome, Italy
    Available from: 2017-11-23 Created: 2017-10-18 Last updated: 2018-05-31Bibliographically approved
    2. Improving LoRa/IEEE 802.15.4g co-existence
    Open this publication in new window or tab >>Improving LoRa/IEEE 802.15.4g co-existence
    (English)Manuscript (preprint) (Other academic)
    National Category
    Communication Systems
    Identifiers
    urn:nbn:se:uu:diva-351504 (URN)
    Available from: 2018-05-28 Created: 2018-05-28 Last updated: 2018-05-31
    3. Using software-defined networking principles for wireless sensor networks
    Open this publication in new window or tab >>Using software-defined networking principles for wireless sensor networks
    2015 (English)In: Proc. 11th Swedish National Computer Networking Workshop, 2015Conference paper, Published paper (Refereed)
    National Category
    Computer Systems
    Identifiers
    urn:nbn:se:uu:diva-254172 (URN)
    Conference
    SNCNW 2015, May 28–29, Karlstad, Sweden
    Projects
    ProFuN
    Funder
    Swedish Foundation for Strategic Research , RIT08-0065
    Available from: 2015-06-05 Created: 2015-06-05 Last updated: 2018-05-31Bibliographically approved
  • 6.
    Orfanidis, Charalampos
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Feeney, Laura Marie
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Jacobsson, Martin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. KTH, Sweden.
    Measuring PHY layer interactions between LoRa and IEEE 802.15.4g networks2017In: 2017 IFIP Networking Conference (IFIP Networking) and Workshops, International Federation for Information Processing, 2017Conference paper (Other academic)
    Abstract [en]

    Advances in low power wireless communication have resulted in new radio technologies that can achieve long distance communication in energy efficient ways. An emerging problem in this scenario is interference between networks that share the same medium. The fact that these networks have a long transmission range increases the possibility of interference even more. Thus the investigation of how different networks can share the medium independently in a optimal way becomes an essential requirement for the IoT vision. In this poster, we present the first step of this investigation, which is measuring how LoRa and IEEE 802.15.4g PHY layers interfere.

  • 7.
    Orfanidis, Charalampos
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Feeney, Laura Marie
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Jacobsson, Martin
    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.
    Cross-technology Clear Channel Assessment for Low-Power Wide Area Networks2019In: Proceedings of The 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2019Conference paper (Refereed)
    Abstract [en]

    Due to their popularity, large coverage areas, and diversity of radio technologies, Low Power Wide Area Networks( LPWAN) will experience high levels of cross-technology interfer-ence. In this work, we  investigate the impact of LoRa interferenceon IEEE 802.15.4 (Wi-SUN) networks. Using hardware experiments, we characterize the interaction between these two verydifferent radio technologies. In particular, we observe that the IEEE 802.15.4 Clear Channel Assessment (CCA) mechanism does not  reliably detect interfering LoRa transmissions. We therefore propose an enhanced CCA mechanism based on a Multi-Layer Perceptron classifier and show that it significantly reduces the number of unsuccessful transmissions, while remaining compatible with the IEEE 802.15.4 standard.

  • 8.
    Orfanidis, Charalampos
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Feeney, Laura Marie
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Jacobsson, Martin
    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.
    Improving LoRa/IEEE 802.15.4g co-existenceManuscript (preprint) (Other academic)
  • 9.
    Orfanidis, Charalampos
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Feeney, Laura Marie
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Jacobsson, Martin
    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.
    Investigating interference between LoRa and IEEE 802.15.4g networks2017In: Proc. 13th International Conference on Wireless and Mobile Computing, Networking and Communications, IEEE, 2017, p. 441-448Conference paper (Refereed)
  • 10.
    Orfanidis, Charalampos
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
    Zhang, Yue
    Dragoni, Nicola
    Fault detection in WSNs: An energy efficiency perspective towards human-centric WSNs2015In: Agent and Multi-Agent Systems: Technologies and Applications, Springer, 2015, p. 285-300Conference paper (Refereed)
1 - 10 of 10
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