Identification of radio disturbances of wireless sensor networks

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

We propose a novel method to identify the sources for transmission disturbances related to radio propagation in wireless sensor networks. Especially in industrial environments there are challenges for reliability and performance. For example, dead spots indicate destructive interference caused by the signal multipath propagation. The recognition of this phenomenon during the network installation and operation, and systematic methods for network optimization, will significantly improve the data transmission quality and reliability even in difficult conditions. By computing the amplitude histograms of the received signal strength and characteristics of the histograms, we can deduce what kind of interference causes the signal degradation in radio link, i.e. interfering radio traffic or signal multipath propagation. We use software defined radio (SDR) as the receiver to capture the transmitted signal and analyze the statistical properties of the captured signal with Matlab/Simulink tools. The results show that the shape of the histograms reveals the nature of the radio channel interferences and in that way can help to choose the right actions in order to overcome the communication problems.
Original languageEnglish
Title of host publicationProceedings of the
Subtitle of host publicationSummer Computer Simulation Conference SCSC 2013
PublisherCurran Associates Inc.
Pages400-405
ISBN (Print)978-1-6274-8276-9
Publication statusPublished - 2013
MoE publication typeNot Eligible
EventSummer Computer Simulation Conference, SCSC 2013 - Toronto, Canada
Duration: 7 Jul 201310 Jul 2013

Conference

ConferenceSummer Computer Simulation Conference, SCSC 2013
Abbreviated titleSCSC 2013
CountryCanada
CityToronto
Period7/07/1310/07/13

Fingerprint

Wireless sensor networks
Multipath propagation
Radio transmission
Radio links
Telecommunication traffic
Data communication systems
Degradation
Communication

Keywords

  • amlitude histogram
  • radio disturbances
  • software defined radio
  • wiereless sensor networks

Cite this

Eskola, M., Heikkilä, T., & Peippola, T. (2013). Identification of radio disturbances of wireless sensor networks. In Proceedings of the : Summer Computer Simulation Conference SCSC 2013 (pp. 400-405). Curran Associates Inc..
Eskola, Marina ; Heikkilä, Tapio ; Peippola, Tero. / Identification of radio disturbances of wireless sensor networks. Proceedings of the : Summer Computer Simulation Conference SCSC 2013. Curran Associates Inc., 2013. pp. 400-405
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Eskola, M, Heikkilä, T & Peippola, T 2013, Identification of radio disturbances of wireless sensor networks. in Proceedings of the : Summer Computer Simulation Conference SCSC 2013. Curran Associates Inc., pp. 400-405, Summer Computer Simulation Conference, SCSC 2013, Toronto, Canada, 7/07/13.

Identification of radio disturbances of wireless sensor networks. / Eskola, Marina; Heikkilä, Tapio; Peippola, Tero.

Proceedings of the : Summer Computer Simulation Conference SCSC 2013. Curran Associates Inc., 2013. p. 400-405.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - We propose a novel method to identify the sources for transmission disturbances related to radio propagation in wireless sensor networks. Especially in industrial environments there are challenges for reliability and performance. For example, dead spots indicate destructive interference caused by the signal multipath propagation. The recognition of this phenomenon during the network installation and operation, and systematic methods for network optimization, will significantly improve the data transmission quality and reliability even in difficult conditions. By computing the amplitude histograms of the received signal strength and characteristics of the histograms, we can deduce what kind of interference causes the signal degradation in radio link, i.e. interfering radio traffic or signal multipath propagation. We use software defined radio (SDR) as the receiver to capture the transmitted signal and analyze the statistical properties of the captured signal with Matlab/Simulink tools. The results show that the shape of the histograms reveals the nature of the radio channel interferences and in that way can help to choose the right actions in order to overcome the communication problems.

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Eskola M, Heikkilä T, Peippola T. Identification of radio disturbances of wireless sensor networks. In Proceedings of the : Summer Computer Simulation Conference SCSC 2013. Curran Associates Inc. 2013. p. 400-405