Modelling Periodic Data Dissemination in Wireless Sensor Networks

G Williamson, D Cellai, S Dobson, PA Nixon

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)

    Abstract

    Epidemic-based communications, or 'gossiping', provides a robust and scalable method for maintaining a knowledge base in a sensor network faced with an unpredictable network environment. Since sensed information is often periodic in time, protocols should be able to manage multiple messages in an efficient way. We describe a mathematical model of gossiping dealing with multiple messages. We present simulation results that suggest the model can provide insights into the design and optimisation of sensor networks in the case of dissemination of periodically generated data. We show that it is possible to control data freshness without increasing overhead, and quantify the importance of topology in achieving timely dissemination.
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    EditorsDavid Al-Dabass, Sokratis Katsikas
    PublisherIEEE Computer Society
    Pages499-504
    Number of pages6
    ISBN (Print)978-1-4244-5345-0
    DOIs
    Publication statusPublished - 2009
    EventEMS 2009 UKSim Third European Modelling Symposium on Computer Modelling and Simulation - Athens, Greece
    Duration: 1 Jan 2009 → …

    Conference

    ConferenceEMS 2009 UKSim Third European Modelling Symposium on Computer Modelling and Simulation
    Period1/01/09 → …

    Keywords

    • n/a

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  • Cite this

    Williamson, G., Cellai, D., Dobson, S., & Nixon, PA. (2009). Modelling Periodic Data Dissemination in Wireless Sensor Networks. In D. Al-Dabass, & S. Katsikas (Eds.), Unknown Host Publication (pp. 499-504). IEEE Computer Society. https://doi.org/10.1109/EMS.2009.31