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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Bibliographic Details
Main Authors: Bingchun Zhu, Junichi Suzuki, Pruet Boonma
Format: Book Series
Published: 2018
Subjects:
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