Evolutionary and noise-aware data gathering for wireless sensor networks

Bingchun Zhu; Junichi Suzuki; Pruet Boonma

Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51521

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DC Field	Value	Language
dc.contributor.author	Bingchun Zhu	en_US
dc.contributor.author	Junichi Suzuki	en_US
dc.contributor.author	Pruet Boonma	en_US
dc.date.accessioned	2018-09-04T06:03:41Z	-
dc.date.available	2018-09-04T06:03:41Z	-
dc.date.issued	2012-09-06	en_US
dc.identifier.issn	18678211	en_US
dc.identifier.other	2-s2.0-84869596835	en_US
dc.identifier.other	10.1007/978-3-642-32615-8_5	en_US
dc.identifier.uri	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869596835&origin=inward	en_US
dc.identifier.uri	http://cmuir.cmu.ac.th/jspui/handle/6653943832/51521	-
dc.description.abstract	This paper formulates a prioritized data gathering problem in noisy wireless sensor networks (WSNs) and solves the problem with a noise-aware evolutionary multiobjective optimization algorithm (EMOA). Unlike existing local search heuristics, the proposed algorithm can seek the Pareto-optimal routing structures with respect to conflicting optimization objectives. Simulation results demonstrate that the proposed algorithm outperforms a traditional EMOA in a noisy WSN. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.	en_US
dc.subject	Computer Science	en_US
dc.title	Evolutionary and noise-aware data gathering for wireless sensor networks	en_US
dc.type	Book Series	en_US
article.title.sourcetitle	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering	en_US
article.volume	87 LNICST	en_US
article.stream.affiliations	University of Massachusetts Boston	en_US
article.stream.affiliations	Chiang Mai University	en_US
Appears in Collections:	CMUL: Journal Articles

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