Classification of Radio Channel disturbances for industrial wireless sensor networks

Marina Eskola (Corresponding Author), Tapio Heikkilä (Corresponding Author)

    Research output: Contribution to journal › Article › Scientific › peer-review

    10 Citations (Scopus)

    Abstract

    The reliability of data transmission in Wireless Sensor Networks (WSN) is always an issue in harsh industrial environments and sets specific challenges for performance optimization. Short-term signal disturbances, in the form of multipath fading and destructive radio interference, are of major concern due to signal path conditions (large concrete and metal surfaces), related line-of-sight (LOS) changes (incoming and outgoing trucks, moving around forklifts and workers), and radio frequency interferences. In this paper we introduce the classification procedure where results of Probability Density Function (PDF) analysis and Spectrogram Analysis are combined to classify the measured radio channel disturbances to a set of predefined disturbance classes. The PDF and Spectrogram analysis methods are used for analyzing the statistical properties of the received signal magnitudes. Tracking the changes of the PDF clearly contributes to recognize and characterize the temporal changes, especially LOS changes in the radio link environment. The spectrogram analysis provides additional information of the radio interferences on co- and adjacent channels.
    Original languageEnglish
    Pages (from-to)19-33
    JournalAd Hoc Networks
    Volume42
    DOIs
    Publication statusPublished - 2016
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Probability density function
    Wireless sensor networks
    Radio interference
    Radio links
    Multipath fading
    Data communication systems
    Trucks
    Concretes
    Metals

    Keywords

    • radio disturbances
    • wireless sensor networks
    • software Defined Radio
    • classification of radio disturbances

    Cite this

    Eskola, Marina ; Heikkilä, Tapio. / Classification of Radio Channel disturbances for industrial wireless sensor networks. In: Ad Hoc Networks. 2016 ; Vol. 42. pp. 19-33.
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    title = "Classification of Radio Channel disturbances for industrial wireless sensor networks",
    abstract = "The reliability of data transmission in Wireless Sensor Networks (WSN) is always an issue in harsh industrial environments and sets specific challenges for performance optimization. Short-term signal disturbances, in the form of multipath fading and destructive radio interference, are of major concern due to signal path conditions (large concrete and metal surfaces), related line-of-sight (LOS) changes (incoming and outgoing trucks, moving around forklifts and workers), and radio frequency interferences. In this paper we introduce the classification procedure where results of Probability Density Function (PDF) analysis and Spectrogram Analysis are combined to classify the measured radio channel disturbances to a set of predefined disturbance classes. The PDF and Spectrogram analysis methods are used for analyzing the statistical properties of the received signal magnitudes. Tracking the changes of the PDF clearly contributes to recognize and characterize the temporal changes, especially LOS changes in the radio link environment. The spectrogram analysis provides additional information of the radio interferences on co- and adjacent channels.",
    keywords = "radio disturbances, wireless sensor networks, software Defined Radio, classification of radio disturbances",
    author = "Marina Eskola and Tapio Heikkil{\"a}",
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    language = "English",
    volume = "42",
    pages = "19--33",
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    Eskola, M & Heikkilä, T 2016, 'Classification of Radio Channel disturbances for industrial wireless sensor networks', Ad Hoc Networks, vol. 42, pp. 19-33. https://doi.org/10.1016/j.adhoc.2016.01.001

    Classification of Radio Channel disturbances for industrial wireless sensor networks. / Eskola, Marina (Corresponding Author); Heikkilä, Tapio (Corresponding Author).

    In: Ad Hoc Networks, Vol. 42, 2016, p. 19-33.

    Research output: Contribution to journal › Article › Scientific › peer-review

    TY - JOUR

    T1 - Classification of Radio Channel disturbances for industrial wireless sensor networks

    AU - Eskola, Marina

    AU - Heikkilä, Tapio

    PY - 2016

    Y1 - 2016

    N2 - The reliability of data transmission in Wireless Sensor Networks (WSN) is always an issue in harsh industrial environments and sets specific challenges for performance optimization. Short-term signal disturbances, in the form of multipath fading and destructive radio interference, are of major concern due to signal path conditions (large concrete and metal surfaces), related line-of-sight (LOS) changes (incoming and outgoing trucks, moving around forklifts and workers), and radio frequency interferences. In this paper we introduce the classification procedure where results of Probability Density Function (PDF) analysis and Spectrogram Analysis are combined to classify the measured radio channel disturbances to a set of predefined disturbance classes. The PDF and Spectrogram analysis methods are used for analyzing the statistical properties of the received signal magnitudes. Tracking the changes of the PDF clearly contributes to recognize and characterize the temporal changes, especially LOS changes in the radio link environment. The spectrogram analysis provides additional information of the radio interferences on co- and adjacent channels.

    AB - The reliability of data transmission in Wireless Sensor Networks (WSN) is always an issue in harsh industrial environments and sets specific challenges for performance optimization. Short-term signal disturbances, in the form of multipath fading and destructive radio interference, are of major concern due to signal path conditions (large concrete and metal surfaces), related line-of-sight (LOS) changes (incoming and outgoing trucks, moving around forklifts and workers), and radio frequency interferences. In this paper we introduce the classification procedure where results of Probability Density Function (PDF) analysis and Spectrogram Analysis are combined to classify the measured radio channel disturbances to a set of predefined disturbance classes. The PDF and Spectrogram analysis methods are used for analyzing the statistical properties of the received signal magnitudes. Tracking the changes of the PDF clearly contributes to recognize and characterize the temporal changes, especially LOS changes in the radio link environment. The spectrogram analysis provides additional information of the radio interferences on co- and adjacent channels.

    KW - radio disturbances

    KW - wireless sensor networks

    KW - software Defined Radio

    KW - classification of radio disturbances

    U2 - 10.1016/j.adhoc.2016.01.001

    DO - 10.1016/j.adhoc.2016.01.001

    M3 - Article

    VL - 42

    SP - 19

    EP - 33

    JO - Ad Hoc Networks

    JF - Ad Hoc Networks

    SN - 1570-8705

    ER -

    Eskola M, Heikkilä T. Classification of Radio Channel disturbances for industrial wireless sensor networks. Ad Hoc Networks. 2016;42:19-33. https://doi.org/10.1016/j.adhoc.2016.01.001

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