RSSI-based environment identification for 2.45 GHz. body area networks

B.H.E. Altvater, S.F. Heaney, S.L. Cotton, Arjan Meijerink, Marinus Jan Bentum, W.G. Scanlon

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    Abstract—A unique property of body area networks (BANs) is the mobility of the network as the user moves freely around. This mobility represents a significant challenge for BANs, since, in order to operate efficiently, they need to be able to adapt to the changing propagation environment. A method is presented that allows BAN nodes to classify the current operating environment in terms of multipath conditions, based on received signal strength indicator values during normal packet transmissions. A controlled set of measurements was carried out to study the effect different environments inflict on on-body link signal strength in a 2.45 GHz BAN. The analysis shows that, by using two statistical parameters, gathered over a period of one second, BAN nodes can successfully classify the operating environment for over 90% of the time.
    Original languageUndefined
    Title of host publicationProceedings of the IEEE 6th European Conference on Antennas and Propagation (EUCAP2012)
    Place of PublicationUSA
    Number of pages5
    ISBN (Print)978-1-4577-0918-0
    Publication statusPublished - 31 May 2012
    Event6th European Conference on Antennas and Propagation, EuCAP 2012 - Prague, Czech Republic
    Duration: 26 Mar 201230 Mar 2012
    Conference number: 6

    Publication series

    PublisherIEEE Antennas & Propagation Society


    Conference6th European Conference on Antennas and Propagation, EuCAP 2012
    Abbreviated titleEuCAP
    Country/TerritoryCzech Republic
    Internet address


    • METIS-287950
    • EWI-22094
    • IR-80965

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