Modelling Periodic Data Dissemination in Wireless Sensor Networks

Graham Williamson, Davide Cellai, Simon Dobson, Paddy Nixon, David Al-Dabass (Editor), Sokratis Katsikas (Editor)

Research output: A Conference proceeding or a Chapter in BookConference 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 publication2009 Third UKSim European Symposium on Computer Modeling and Simulation
EditorsDavid Al-Dabass, Sokratis Katsikas, Ioannis Koukos, Ajith Abraham, Richard Zobel
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages499-504
Number of pages6
ISBN (Print)978142445340
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventEMS 2009, UKSim Third European Modelling Symposium on Computer Modelling and Simulation - Athens, Athens, Greece
Duration: 25 Nov 200927 Nov 2009

Conference

ConferenceEMS 2009, UKSim Third European Modelling Symposium on Computer Modelling and Simulation
CountryGreece
CityAthens
Period25/11/0927/11/09

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