Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51521
Title: Evolutionary and noise-aware data gathering for wireless sensor networks
Authors: Bingchun Zhu
Junichi Suzuki
Pruet Boonma
Keywords: Computer Science
Issue Date: 6-Sep-2012
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869596835&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51521
ISSN: 18678211
Appears in Collections:CMUL: Journal Articles

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