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Publications (10 of 17) Show all publications
Feeney, L. M., Orfanidis, C., Jacobsson, M. & Gunningberg, P. (2018). Preliminary Results on LoRaWAN and IEEE 802.15.4-SUN Interference. In: SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor. Paper presented at 16th Conference on Embedded Networked Sensor Systems (SENSYS),Shenzhen, China, November 04-07, 2018. (pp. 430-431). New York: ACM Press
Open this publication in new window or tab >>Preliminary Results on LoRaWAN and IEEE 802.15.4-SUN Interference
2018 (English)In: SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor, New York: ACM Press, 2018, p. 430-431Conference paper, Poster (with or without abstract) (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.

Place, publisher, year, edition, pages
New York: ACM Press, 2018
National Category
Communication Systems
Identifiers
urn:nbn:se:uu:diva-368660 (URN)10.1145/3274783.3275218 (DOI)000469016400086 ()978-1-4503-5952-8 (ISBN)
Conference
16th Conference on Embedded Networked Sensor Systems (SENSYS),Shenzhen, China, November 04-07, 2018.
Available from: 2018-12-06 Created: 2018-12-06 Last updated: 2019-06-24Bibliographically approved
Orfanidis, C., Feeney, L. M., Jacobsson, M. & Gunningberg, P. (2017). Investigating interference between LoRa and IEEE 802.15.4g networks. In: Proc. 13th International Conference on Wireless and Mobile Computing, Networking and Communications: . Paper presented at WiMob 2017, October 9–11, Rome, Italy (pp. 441-448). IEEE
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
Orfanidis, C., Feeney, L. M. & Jacobsson, M. (2017). Measuring PHY layer interactions between LoRa and IEEE 802.15.4g networks. In: 2017 IFIP Networking Conference (IFIP Networking) and Workshops: . Paper presented at IFIP Networking Conference (IFIP Networking), June 12–15, 2017, Stockholm, Sweden. International Federation for Information Processing
Open this publication in new window or tab >>Measuring PHY layer interactions between LoRa and IEEE 802.15.4g networks
2017 (English)In: 2017 IFIP Networking Conference (IFIP Networking) and Workshops, International Federation for Information Processing, 2017Conference paper, Published 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.

Place, publisher, year, edition, pages
International Federation for Information Processing, 2017
National Category
Communication Systems
Identifiers
urn:nbn:se:uu:diva-326067 (URN)10.23919/IFIPNetworking.2017.8264888 (DOI)000425452000065 ()978-3-901882-94-4 (ISBN)
Conference
IFIP Networking Conference (IFIP Networking), June 12–15, 2017, Stockholm, Sweden
Available from: 2017-06-15 Created: 2017-06-30 Last updated: 2018-05-17Bibliographically approved
Elsts, A., Hassani Bijarbooneh, F., Jacobsson, M. & Sagonas, K. (2015). Enabling design of performance-controlled sensor network applications through task allocation and reallocation. In: Proc. 11th International Conference on Distributed Computing in Sensor Systems: . Paper presented at PWSN 2015, June 12, Fortaleza, Brazil (pp. 248-253). IEEE Computer Society
Open this publication in new window or tab >>Enabling design of performance-controlled sensor network applications through task allocation and reallocation
2015 (English)In: Proc. 11th International Conference on Distributed Computing in Sensor Systems, IEEE Computer Society, 2015, p. 248-253Conference paper, Published paper (Refereed)
Abstract [en]

Task Graph (ATaG) is a sensor network application development paradigm where the application is visually described by a graph where the nodes correspond to application-level tasks and edges correspond to dataflows. We extend ATaG with the option to add nonfunctional requirements: constraints on end-to-end delay and packet delivery rate. Setting up these constraints at the design phase naturally leads to enabling run-time assurance at the deployment phase, when the conditions of the constraints are used as network's performance goals. We provide both run-time middleware that checks the conditions of these constraints and a central management unit that dynamically adapts the system by doing task reallocation and putting task copies on redundant nodes. Through extensive simulations we show that the system is efficient enough to enable adaptations within tens of seconds even in large networks.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015
National Category
Computer Sciences
Identifiers
urn:nbn:se:uu:diva-256773 (URN)10.1109/DCOSS.2015.44 (DOI)000380515100035 ()9781479988563 (ISBN)
External cooperation:
Conference
PWSN 2015, June 12, Fortaleza, Brazil
Projects
ProFuN
Funder
Swedish Foundation for Strategic Research , RIT08-0065
Available from: 2015-06-26 Created: 2015-06-26 Last updated: 2018-01-11Bibliographically approved
Jacobsson, M. & Rohner, C. (2015). Estimating packet delivery ratio for arbitrary packet sizes over wireless links [Letter to the editor]. IEEE Communications Letters, 19(4), 609-612
Open this publication in new window or tab >>Estimating packet delivery ratio for arbitrary packet sizes over wireless links
2015 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 19, no 4, p. 609-612Article in journal, Letter (Refereed) Published
Abstract [en]

Real life measurements show that on a given wireless link, the packet delivery ratio of different packet lengths varies with longer packets experiencing lower delivery ratios. In this letter, we measure this effect in detail over several different wireless links and technologies. Our results show that the current models are not entirely correct. Hence, we propose a simple modification that rectifies this behavior. Using this new model, we look at how link quality estimation methods can be enhanced to include this modification. Our study shows that the use of two different packet lengths or simple compensation can be used to achieve significantly better estimation of link quality.

National Category
Communication Systems
Research subject
Computer Science with specialization in Computer Communication
Identifiers
urn:nbn:se:uu:diva-248014 (URN)10.1109/LCOMM.2015.2398443 (DOI)000352736500027 ()
Projects
ProFuN
Funder
Swedish Foundation for Strategic Research , RIT08-0065
Available from: 2015-04-08 Created: 2015-03-26 Last updated: 2017-12-04Bibliographically approved
Elsts, A., Hassani Bijarbooneh, F., Jacobsson, M. & Sagonas, K. (2015). ProFuN TG: A tool for programming and managing performance-aware sensor network applications. In: IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops): . Paper presented at The 10th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp'15) (pp. 751-759). IEEE Computer Society
Open this publication in new window or tab >>ProFuN TG: A tool for programming and managing performance-aware sensor network applications
2015 (English)In: IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops), IEEE Computer Society, 2015, p. 751-759Conference paper, Published paper (Refereed)
Abstract [en]

Sensor network macroprogramming methodologiessuch as the Abstract Task Graph hold the promise of enablinghigh-level sensor network application development. However,progress in this area is hampered by the scarcity of tools, andalso because of insufficient focus on developing tool support forprogramming applications aware of performance requirements.

We present ProFuN TG (Task Graph), a tool for designing sen-sor network applications using task graphs. ProFuN TG providesautomated task mapping, sensor node firmware macrocompila-tion, application simulation, deployment, and runtime mainte-nance capabilities. It allows users to incorporate performancerequirements in the applications, expressed through constraintson task-to-task dataflows. The tool includes middleware that usesan efficient flooding-based protocol to set up tasks in the network,and also enables runtime assurance by keeping track of theconstraint conditions.

We show that the adaptive task reallocation enabled by ourapproach can significantly increase application reliability whiledecreasing energy consumption: in a network with unreliablelinks, we achieve above 99.89 % task-to-task PDR while keepingthe maximal radio duty cycle around 2.0 %.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015
National Category
Communication Systems Embedded Systems
Research subject
Computer Science with specialization in Computer Communication
Identifiers
urn:nbn:se:uu:diva-288527 (URN)10.1109/LCNW.2015.7365924 (DOI)000380463700022 ()9781467367738 (ISBN)
Conference
The 10th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp'15)
Projects
ProFuN
Funder
Swedish Foundation for Strategic Research , RIT08-0065
Available from: 2016-04-28 Created: 2016-04-28 Last updated: 2016-08-24Bibliographically approved
Elsts, A., Hassani Bijarbooneh, F., Jacobsson, M. & Sagonas, K. (2015). ProFuN TG: A Tool Using Abstract Task Graphs to Facilitate the Development, Deployment and Maintenance of Wireless Sensor Network Applications. In: Proc. Poster/Demo Session: 12th European Conference on Wireless Sensor Networks. Paper presented at EWSN 2015, February 9–11, Porto, Portugal (pp. 19-20).
Open this publication in new window or tab >>ProFuN TG: A Tool Using Abstract Task Graphs to Facilitate the Development, Deployment and Maintenance of Wireless Sensor Network Applications
2015 (English)In: Proc. Poster/Demo Session: 12th European Conference on Wireless Sensor Networks, 2015, p. 19-20Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

In this demo abstract we present ProFuN TG (Task Graph), a tool for sensor network application development using the data-flow programming paradigm. The tool has support for the whole lifecycle of WSN application: from the initial design of its task graph, task placement on network nodes, execution in a simulated environment, deployment on real hardware, to its automated maintenance through task remapping. ProFuN TG allows to program applications that incorporate quality-of-service requirements, expressed through constraints on task-to-task data flows.

National Category
Computer Sciences
Identifiers
urn:nbn:se:uu:diva-256751 (URN)
Conference
EWSN 2015, February 9–11, Porto, Portugal
Projects
ProFuN
Funder
Swedish Foundation for Strategic Research , RIT08-0065
Available from: 2015-06-25 Created: 2015-06-25 Last updated: 2018-01-11Bibliographically approved
Elsts, A., Hassani Bijarbooneh, F., Jacobsson, M. & Sagonas, K. (2015). ProFuN TG: Programming Sensornets with Task Graphs for Increased Reliability and Energy-Efficiency. In: : . Paper presented at The 40th IEEE Conference on Local Computer Networks (LCN). IEEE Computer Society
Open this publication in new window or tab >>ProFuN TG: Programming Sensornets with Task Graphs for Increased Reliability and Energy-Efficiency
2015 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Sensor network macroprogramming methodologies such as the Abstract Task Graph hold the promise of enabling high-level sensor network application development. However, progress in this area is hampered by the scarcity of tools, and also because of insufficient focus on developing tool support for programming applications aware of performance requirements.

In this demo we present ProFuN TG (Task Graph), a tool for designing sensor network applications using task graphs. ProFuN TG provides automated task mapping, sensor nodefirmware macrocompilation, application simulation, deployment, and runtime maintenance capabilities. It allows users to incorporate performance requirements in the applications, expressed through constraints on task-to-task dataflows. The tool includes middleware that uses an efficient flooding-based protocol to set up tasks in the network, and also enables runtime assurance by keeping track of the constraint conditions.

Through task allocation in a way that optimizes an objective function in a model of the network, and adaptive task reallocation in case of link, node, or sensor failures the tool helps to make sensornet applications both more energy-efficient and reliable.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015
National Category
Communication Systems Embedded Systems
Research subject
Computer Science with specialization in Computer Communication
Identifiers
urn:nbn:se:uu:diva-288533 (URN)
Conference
The 40th IEEE Conference on Local Computer Networks (LCN)
Projects
ProFuN
Funder
Swedish Foundation for Strategic Research , RIT08-0065
Available from: 2016-04-28 Created: 2016-04-28 Last updated: 2016-07-01Bibliographically approved
Jacobsson, M. & Orfanidis, C. (2015). Using software-defined networking principles for wireless sensor networks. In: Proc. 11th Swedish National Computer Networking Workshop: . Paper presented at SNCNW 2015, May 28–29, Karlstad, Sweden.
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
Lo, A., Law, Y. W. & Jacobsson, M. (2013). A cellular-centric service architecture for machine-to-machine (M2M) communications. IEEE wireless communications, 20(5), 143-151
Open this publication in new window or tab >>A cellular-centric service architecture for machine-to-machine (M2M) communications
2013 (English)In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 20, no 5, p. 143-151Article in journal (Refereed) Published
Abstract [en]

A machine-to-machine (M2M) communications system is a large-scale network with diverse applications and a massive number of interconnected heterogeneous machines (e. g., sensors, vending machines and vehicles). Cellular wireless technologies will be a potential candidate for providing the last mile M2M connectivity. Thus, the Third Generation Partnership Project (3GPP) and IEEE 802.16p, have both specified an overall cellular M2M reference architecture. The European Telecommunications Standards Institute (ETSI), in contrast, has defined a service-oriented M2M architecture. This article reviews and compares the three architectures. As a result, the 3GPP and 802.16p M2M architectures, which are functionally equivalent, complement the ETSI one. Therefore, we propose to combine the ETSI and 3GPP architectures, yielding a cellular-centric M2M service architecture. Our proposed architecture advocates the use of M2M relay nodes as a data concentrator. The M2M relay implements a tunnel-based aggregation scheme which coalesces data from several machines destined to the same tunnel exit-point. The aggregation scheme is also employed at the M2M gateway and the cellular base station. Numerical results show a significant reduction in protocol overheads as compared to not using aggregation at the expense of packet delay. However, the delay rapidly decreases with increasing machine density.

Place, publisher, year, edition, pages
IEEE Communications Society, 2013
National Category
Computer Engineering Communication Systems
Research subject
Computer Science with specialization in Computer Communication
Identifiers
urn:nbn:se:uu:diva-212093 (URN)10.1109/MWC.2013.6664485 (DOI)000327502000020 ()
Projects
ProFuN
Funder
Swedish Foundation for Strategic Research
Available from: 2013-11-14 Created: 2013-12-05 Last updated: 2018-01-11Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-8359-5745

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