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Investigating interference between LoRa and IEEE 802.15.4g networks
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Communication Research)ORCID iD: 0000-0001-6581-314X
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Communication Research)ORCID iD: 0000-0002-8359-5745
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Communication Research)
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. p. 441-448
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:uu:diva-331851DOI: 10.1109/WiMOB.2017.8115772ISI: 000419818000061ISBN: 978-1-5386-3839-2 (electronic)OAI: oai:DiVA.org:uu-331851DiVA, id: diva2:1150385
Conference
WiMob 2017, October 9–11, Rome, Italy
Available from: 2017-11-23 Created: 2017-10-18 Last updated: 2018-05-31Bibliographically approved
In thesis
1. Robustness in low power wide area networks
Open this publication in new window or tab >>Robustness in low power wide area networks
2018 (English)Licentiate 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.

Place, publisher, year, edition, pages
Uppsala University, 2018
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2018-004
National Category
Communication Systems Computer Systems
Research subject
Computer Science with specialization in Computer Communication
Identifiers
urn:nbn:se:uu:diva-351481 (URN)
Opponent
Supervisors
Available from: 2018-05-28 Created: 2018-05-25 Last updated: 2018-05-31Bibliographically approved

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Orfanidis, CharalamposFeeney, Laura MarieJacobsson, MartinGunningberg, Per

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