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Modelling Periodic Data Dissemination in Wireless Sensor Networks

Citation

Williamson, G and Cellai, D and Dobson, S and Nixon, PA, Modelling Periodic Data Dissemination in Wireless Sensor Networks, EMS 2009 UKSim Third European Modelling Symposium on Computer Modelling and Simulation, 25-27 November 2009, Athens, Greece, pp. 499-504. ISBN 978-1-4244-5345-0 (2009) [Refereed Conference Paper]

DOI: doi:10.1109/EMS.2009.31

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.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Networking and Communications
Objective Division:Information and Communication Services
Objective Group:Communication Networks and Services
Objective Field:Communication Networks and Services not elsewhere classified
UTAS Author:Nixon, PA (Professor Paddy Nixon)
ID Code:70116
Year Published:2009
Deposited By:Research Division
Deposited On:2011-06-03
Last Modified:2012-03-21
Downloads:0

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