Modelling Periodic Data Dissemination in Wireless Sensor Networks

G Williamson, D Cellai, S Dobson, PA Nixon

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

12 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 (in print/issue) - 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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