Evolutionary and Noise-Aware Data Gathering for Wireless Sensor Networks

Bingchun Zhu; Junichi Suzuki; Pruet Boonma

Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers

Research Article

Evolutionary and Noise-Aware Data Gathering for Wireless Sensor Networks

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@INPROCEEDINGS{10.1007/978-3-642-32615-8_5,
    author={Bingchun Zhu and Junichi Suzuki and Pruet Boonma},
    title={Evolutionary and Noise-Aware Data Gathering for Wireless Sensor Networks},
    proceedings={Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers},
    proceedings_a={BIONETICS},
    year={2012},
    month={10},
    keywords={Wireless sensor networks Data gathering protocol Noisy multiobjective optimization problem Genetic algorithm},
    doi={10.1007/978-3-642-32615-8_5}
}

Bingchun Zhu
Junichi Suzuki
Pruet Boonma
Year: 2012
Evolutionary and Noise-Aware Data Gathering for Wireless Sensor Networks
BIONETICS
Springer
DOI: 10.1007/978-3-642-32615-8_5

Bingchun Zhu¹^,*, Junichi Suzuki¹^,*, Pruet Boonma²^,*

1: University of Massachusetts
2: Chiang Mai University

*Contact email: numchun@cs.umb.edu, jxs@cs.umb.edu, pruet@eng.cmu.ac.th

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.

Keywords: Wireless sensor networks Data gathering protocol Noisy multiobjective optimization problem Genetic algorithm

Published: 2012-10-18

: http://dx.doi.org/10.1007/978-3-642-32615-8_5