Identification of radio disturbances of wireless sensor networks

Marina Eskola, Tapio Heikkilä, Tero Peippola

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

    1 Citation (Scopus)


    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 publicationSummer Computer Simulation Conference SCSC 2013
    PublisherCurran Associates Inc.
    ISBN (Print)978-1-6274-8276-9
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    EventSummer Computer Simulation Conference, SCSC 2013 - Toronto, Canada
    Duration: 7 Jul 201310 Jul 2013


    ConferenceSummer Computer Simulation Conference, SCSC 2013
    Abbreviated titleSCSC 2013


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


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