TACA: A Topology Adaptive Clustering Algorithm For Mobile Ad Hoc Network

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1017

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DC Field	Value	Language
dc.contributor.author	Chinara, S	-
dc.contributor.author	Rath, S K	-
dc.date.accessioned	2009-08-27T09:07:40Z	-
dc.date.available	2009-08-27T09:07:40Z	-
dc.date.issued	2009-07-14	-
dc.identifier.citation	The 2009 World Congress in Computer Science Computer Engineering and Applied Computing, July 13-16, Las Vegas, USA	en
dc.identifier.uri	http://hdl.handle.net/2080/1017	-
dc.description.abstract	The research on various issues in Mobile ad hoc networks are getting popularity because of its challenging nature and all time connectivity to communicate. We propose a topology adaptive clustering algorithm for mobile ad hoc network. Two major node parameters like its mobility and available battery power are considered for the node suitability as cluster head. This results into a faster cluster set up time. Non-volunteer cluster heads are selected locally as and when required. This improves the network life time and reduces the maintenance over head.	en
dc.format.extent	419076 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Bentham Science Publishers	en
dc.subject	Mobile ad hoc network,	en
dc.subject	clustering	en
dc.subject	volunteer and non-volunteer cluster heads	en
dc.subject	node operating mode	en
dc.subject	energy consumption	en
dc.title	TACA: A Topology Adaptive Clustering Algorithm For Mobile Ad Hoc Network	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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