Modelling Periodic Data Dissemination in Wireless Sensor Networks

Graham Williamson; Davide Cellai; Simon Dobson; Paddy Nixon

doi:10.1109/EMS.2009.31

Modelling Periodic Data Dissemination in Wireless Sensor Networks

Graham Williamson, Davide Cellai, Simon Dobson, Paddy Nixon

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

12 Citations (Scopus)

44 Downloads (Pure)

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 language	English
Title of host publication	2009 Third UKSim European Symposium on Computer Modeling and Simulation
Editors	David Al-Dabass, Sokratis Katsikas, Ioannis Koukos, Ajith Abraham, Richard Zobel
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	499-504
Number of pages	6
ISBN (Print)	978142445340
DOIs	https://doi.org/10.1109/EMS.2009.31
Publication status	Published - 2009
Externally published	Yes
Event	EMS 2009, UKSim Third European Modelling Symposium on Computer Modelling and Simulation - Athens, Athens, Greece Duration: 25 Nov 2009 → 27 Nov 2009

Conference

Conference	EMS 2009, UKSim Third European Modelling Symposium on Computer Modelling and Simulation
Country/Territory	Greece
City	Athens
Period	25/11/09 → 27/11/09

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10.1109/EMS.2009.31

Conference ContributionFinal published version, 381 KB

Cite this

Williamson, G., Cellai, D., Dobson, S., & Nixon, P. (2009). Modelling Periodic Data Dissemination in Wireless Sensor Networks. In D. Al-Dabass, S. Katsikas, I. Koukos, A. Abraham, & R. Zobel (Eds.), 2009 Third UKSim European Symposium on Computer Modeling and Simulation (pp. 499-504). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMS.2009.31

Williamson, Graham ; Cellai, Davide ; Dobson, Simon et al. / Modelling Periodic Data Dissemination in Wireless Sensor Networks. 2009 Third UKSim European Symposium on Computer Modeling and Simulation. editor / David Al-Dabass ; Sokratis Katsikas ; Ioannis Koukos ; Ajith Abraham ; Richard Zobel . United States : IEEE, Institute of Electrical and Electronics Engineers, 2009. pp. 499-504

@inproceedings{4a4c17a7bba44c25bc6b7cb848344026,

title = "Modelling Periodic Data Dissemination in Wireless Sensor Networks",

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.",

author = "Graham Williamson and Davide Cellai and Simon Dobson and Paddy Nixon",

year = "2009",

doi = "10.1109/EMS.2009.31",

language = "English",

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pages = "499--504",

editor = "David Al-Dabass and Sokratis Katsikas and Ioannis Koukos and Ajith Abraham and {Zobel }, Richard",

booktitle = "2009 Third UKSim European Symposium on Computer Modeling and Simulation",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "EMS 2009, UKSim Third European Modelling Symposium on Computer Modelling and Simulation ; Conference date: 25-11-2009 Through 27-11-2009",

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Williamson, G, Cellai, D, Dobson, S & Nixon, P 2009, Modelling Periodic Data Dissemination in Wireless Sensor Networks. in D Al-Dabass, S Katsikas, I Koukos, A Abraham & R Zobel (eds), 2009 Third UKSim European Symposium on Computer Modeling and Simulation. IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 499-504, EMS 2009, UKSim Third European Modelling Symposium on Computer Modelling and Simulation, Athens, Greece, 25/11/09. https://doi.org/10.1109/EMS.2009.31

Modelling Periodic Data Dissemination in Wireless Sensor Networks. / Williamson, Graham; Cellai, Davide; Dobson, Simon et al.
2009 Third UKSim European Symposium on Computer Modeling and Simulation. ed. / David Al-Dabass; Sokratis Katsikas; Ioannis Koukos; Ajith Abraham; Richard Zobel . United States: IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 499-504.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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T1 - Modelling Periodic Data Dissemination in Wireless Sensor Networks

AU - Williamson, Graham

AU - Cellai, Davide

AU - Dobson, Simon

AU - Nixon, Paddy

PY - 2009

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N2 - 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.

AB - 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.

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DO - 10.1109/EMS.2009.31

M3 - Conference contribution

SN - 978142445340

SP - 499

EP - 504

BT - 2009 Third UKSim European Symposium on Computer Modeling and Simulation

A2 - Al-Dabass, David

A2 - Katsikas, Sokratis

A2 - Koukos, Ioannis

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T2 - EMS 2009, UKSim Third European Modelling Symposium on Computer Modelling and Simulation

Y2 - 25 November 2009 through 27 November 2009

ER -

Modelling Periodic Data Dissemination in Wireless Sensor Networks

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