期刊
COMPUTERS & ELECTRICAL ENGINEERING
卷 72, 期 -, 页码 719-731出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compeleceng.2017.11.021
关键词
Wireless rechargeable sensor networks; Wireless charger deployment; Coverage; Charging efficiency; Firefly algorithm
类别
资金
- National Natural Science Foundation of China [61373123]
- Chinese Scholarship Council [120161 3100]
- Graduate Innovation Fund of Jilin University [2017016]
- Industrial Innovation Special Funds of Jilin Province [2017C028-3]
A wireless rechargeable sensor network (WRSN) consists of sensor nodes that can harvest energy from the wireless charging nodes (WCNs) for prolonging the network lifetime. This study deals with the WCN deployment optimization problem in WRSNs. We propose an optimization framework that simultaneously maximizes the coverage and the charging efficiency. Moreover, an improved firefly algorithm (IFA) is proposed for solving the WCN deployment optimization problem. IFA adopts a novel adaptive attractiveness factor and introduces a dynamic location update mechanism to enhance the performance of the conventional firefly algorithm (FA). We compare the proposed IFA with several benchmark algorithms in two different scenarios. Simulation results show that the proposed algorithm outperforms other comparative algorithms in both accuracy and convergence rate. (C) 2017 Elsevier Ltd. All rights reserved.
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