Socionomics inspired data routing in WSNs

Sinha, S; Chaczko, Z

Socionomics inspired data routing in WSNs

Sinha, S Chaczko, Z

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Publication Type:: Conference Proceeding
Citation:: 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings, 2010
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Sinha, S	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings, 2010	en_US
dc.identifier.isbn	9781424479078	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16148
dc.description.abstract	A society is typically driven by an economic model to manage demand, debt and distribution that is virtually analogous to the management of data, resources and routing in WSNs. In this paper, the application of such a socio-economic model is formalised as a framework to optimise resource utilisation and collaboration among sensor nodes. A specifically designed simulation platform (WSNSim) has been used to validate the Socionomics framework for WSN. A series of experiments involving the formation of relay points, node vulnerability, packet loss and delivery, and propagation delays, has been performed to demonstrate the scheme by which the framework aids in maximising network lifetime. ©2010 IEEE.	en_US
dc.relation.ispartof	4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICSPCS.2010.5709719	en_US
dc.title	Socionomics inspired data routing in WSNs	en_US
dc.type	Conference Proceeding
utslib.for	080110 Simulation and Modelling	en_US
dc.location.activity	Gold Coast, Australia	en_US
dc.location.activity	Singapore, SINGAPORE
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

A society is typically driven by an economic model to manage demand, debt and distribution that is virtually analogous to the management of data, resources and routing in WSNs. In this paper, the application of such a socio-economic model is formalised as a framework to optimise resource utilisation and collaboration among sensor nodes. A specifically designed simulation platform (WSNSim) has been used to validate the Socionomics framework for WSN. A series of experiments involving the formation of relay points, node vulnerability, packet loss and delivery, and propagation delays, has been performed to demonstrate the scheme by which the framework aids in maximising network lifetime. ©2010 IEEE.

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http://hdl.handle.net/10453/16148