Evolutionary and noise-aware data gathering for wireless sensor networks

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...

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Main Authors:	Bingchun Zhu, Junichi Suzuki, Pruet Boonma
Format:	Book Series
Published:	2018
Subjects:	Computer Science
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869596835&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51521
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-51521
record_format	dspace
spelling	th-cmuir.6653943832-515212018-09-04T06:03:41Z Evolutionary and noise-aware data gathering for wireless sensor networks Bingchun Zhu Junichi Suzuki Pruet Boonma Computer Science 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. 2018-09-04T06:03:41Z 2018-09-04T06:03:41Z 2012-09-06 Book Series 18678211 2-s2.0-84869596835 10.1007/978-3-642-32615-8_5 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869596835&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51521
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science
spellingShingle	Computer Science Bingchun Zhu Junichi Suzuki Pruet Boonma Evolutionary and noise-aware data gathering for wireless sensor networks
description	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.
format	Book Series
author	Bingchun Zhu Junichi Suzuki Pruet Boonma
author_facet	Bingchun Zhu Junichi Suzuki Pruet Boonma
author_sort	Bingchun Zhu
title	Evolutionary and noise-aware data gathering for wireless sensor networks
title_short	Evolutionary and noise-aware data gathering for wireless sensor networks
title_full	Evolutionary and noise-aware data gathering for wireless sensor networks
title_fullStr	Evolutionary and noise-aware data gathering for wireless sensor networks
title_full_unstemmed	Evolutionary and noise-aware data gathering for wireless sensor networks
title_sort	evolutionary and noise-aware data gathering for wireless sensor networks
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869596835&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51521
_version_	1681423784839479296

Evolutionary and noise-aware data gathering for wireless sensor networks

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