A Method and Study of Topology Control based Self-Organization in Mesh Networks

Mirchandani, VR; Prodan, A; Debenham, JK

A Method and Study of Topology Control based Self-Organization in Mesh Networks

Mirchandani, VR Prodan, A Debenham, JK

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Publisher:: Inderscience Publishers, UK
Publication Type:: Conference Proceeding
Citation:: IEEE BWIA AccessNets 2007, 2007, pp. 1 - 8
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Mirchandani, VR	en_US
dc.contributor.author	Prodan, A	en_US
dc.contributor.author	Debenham, JK	en_US
dc.contributor.editor	Misra, DS	en_US
dc.date	2007-08-21	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	IEEE BWIA AccessNets 2007, 2007, pp. 1 - 8	en_US
dc.identifier.isbn	1-4244-1150-5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2956
dc.description.abstract	n algorithm for self-organization that assigns the channels intelligently in multi-radio wireless mesh networks (MR-WMN) is important for the proper operation of MR-WMN. The aim of the self-organization algorithm is to reduce the overall interference and increase the aggregate capacity of the network. This can be possible by addressing the two major challenges that are associated with the self-organization of MR-WMN - scalability and stability. In this paper, we have first proposed a generic self-organization algorithm that addresses these two challenges. The basic approach is that of a distributed, light-weight, co-operative multiagent system that guarantees scalability. Second, we have evaluated the performance of the proposed self-organization algorithm for two sets of initialization schemes. The initialization process results in a topology control of MR-WMN by way of spatial distribution of connectivity between the mesh nodes. The results have been obtained for realistic scenarios of MR-WMN node densities and topologies.	en_US
dc.publisher	Inderscience Publishers, UK	en_US
dc.relation.ispartof	IEEE BWIA AccessNets 2007	en_US
dc.relation.ispartof	IEEE Workshop on Broadband, Wireless Internet Access	en_US
dc.relation.isbasedon	10.1109/ACCESSNETS.2007.4447134	en_US
dc.title	A Method and Study of Topology Control based Self-Organization in Mesh Networks	en_US
dc.type	Conference Proceeding
utslib.location	UK	en_US
utslib.location.activity	Ottawa, Canada	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Ottawa, Canada	en_US
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 Software
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	UK	en_US
pubs.start-date	2007-08-21	en_US

Abstract:

n algorithm for self-organization that assigns the channels intelligently in multi-radio wireless mesh networks (MR-WMN) is important for the proper operation of MR-WMN. The aim of the self-organization algorithm is to reduce the overall interference and increase the aggregate capacity of the network. This can be possible by addressing the two major challenges that are associated with the self-organization of MR-WMN - scalability and stability. In this paper, we have first proposed a generic self-organization algorithm that addresses these two challenges. The basic approach is that of a distributed, light-weight, co-operative multiagent system that guarantees scalability. Second, we have evaluated the performance of the proposed self-organization algorithm for two sets of initialization schemes. The initialization process results in a topology control of MR-WMN by way of spatial distribution of connectivity between the mesh nodes. The results have been obtained for realistic scenarios of MR-WMN node densities and topologies.

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http://hdl.handle.net/10453/2956