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SoNIC: Classifying interference in 802.15.4 sensor networks
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
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2013 (English)In: Proc. 12th International Conference on Information Processing in Sensor Networks, New York: ACM Press, 2013, 55-66 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
New York: ACM Press, 2013. 55-66 p.
National Category
Computer Systems
Research subject
Computer Science with specialization in Computer Communication
Identifiers
URN: urn:nbn:se:uu:diva-198284DOI: 10.1145/2461381.2461392ISBN: 978-1-4503-1959-1 (print)OAI: oai:DiVA.org:uu-198284DiVA: diva2:615646
Conference
IPSN 2013
Projects
WISENETProFuN
Funder
Vinnova
Available from: 2013-04-11 Created: 2013-04-11 Last updated: 2014-09-25Bibliographically approved
In thesis
1. Sensor Networks and Their Radio Environment: On Testbeds, Interference, and Broken Packets
Open this publication in new window or tab >>Sensor Networks and Their Radio Environment: On Testbeds, Interference, and Broken Packets
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Sensor networks consist of small sensing devices that collaboratively fulfill a sensing task, such as monitoring the soil in an agricultural field or measuring vital signs in a marathon runner. To avoid cumbersome and expensive cabling, nodes in a sensor network are powered by batteries and communicate wirelessly. As a consequence of the latter, a sensor network's communication is affected by its radio environment, i.e., the environment's propagation characteristics and the presence of other radio devices. This thesis addresses three issues related to the impact of the radio environment on sensor networks.

Firstly, in order to draw conclusions from experimental results, it is necessary to assess how the environment and the experiment infrastructure affect the results. We design a sensor network testbed, dubbed Sensei-UU, to be easily relocatable. By performing an experiment in different environments, a researcher can asses the environments’ impact on results. We further augment Sensei-UU with support for mobile nodes. The implemented mobility approach adds only little variance to results, and therefore enables repeatable experiments with mobility. The repeatability of experiments increases the confidence in conclusions drawn from them.

Secondly, sensor networks may experience poor communication performance due to cross-technology radio interference, especially in office and residential environments. We consider the problem of detecting and classifying the type of interference a sensor network is exposed to. We find that different sources of interference each leave a characteristic "fingerprint" on individual, corrupt 802.15.4 packets. We design and implement the SoNIC system that enables sensor nodes to classify interference using these fingerprints. SoNIC supports accurate classification in both a controlled and an uncontrolled environment.

Finally, we consider transmission errors in an outdoor sensor network. In such an environment, errors occur despite the absence of interference if the signal-to-noise ratio at a receiver is too low. We study the characteristics of corrupt packets collected from an outdoor sensor network deployment. We find that content transformation in corrupt packets follows a specific pattern, and that most corrupt packets contain only few errors. We propose that the pattern may be useful for applications that can operate on inexact data, because it reduces the uncertainty associated with a corrupt packet.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2014. 73 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1171
Keyword
Sensor networks, Testbed, Mobility, Interference classification, Packet corruption
National Category
Communication Systems
Research subject
Computer Science with specialization in Computer Communication
Identifiers
urn:nbn:se:uu:diva-230769 (URN)978-91-554-9019-5 (ISBN)
Public defence
2014-10-17, Room 1311, Polacksbacken, Lägerhyddsvägen 2, Uppsala, 13:00 (English)
Opponent
Supervisors
Projects
WISENET
Funder
VINNOVA, P26628-4
Available from: 2014-09-24 Created: 2014-08-28 Last updated: 2015-01-23

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Hermans, FrederikRensfelt, OlofVoigt, ThiemoNgai, EdithNordén, Lars-ÅkeGunningberg, Per

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