Research Article
Evolutionary and Noise-Aware Data Gathering for Wireless Sensor Networks
601 downloads
@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
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.
Copyright © 2010–2024 ICST