A Genetic Algorithm for Multiple Charging Car Scheduling Problem in Wireless Rechargeable Sensor Networks

Cheng Jie Xu, Tung Kuang Wu, Rei Heng Cheng, Chang Wu Yu

研究成果: Conference contribution

摘要

In wireless rechargeable sensor networks, to obtain a feasible charging route, not only should the moving distance of the charging device be minimized to save its energy, but also all the sensors should be charged in time, so that the whole network can work properly. Genetic algorithm is a powerful problem solving tool for this problem; however, related research considered only one charging car to charge sensors. Nevertheless, adopting multiple charging cars scatters the charging tasks and increases the network life time. To efficiently allocate charging tasks to multiple charging cars, in this work, a new genetic approach using multiple charging cars is proposed to solve this complex scheduling problem.

原文English
主出版物標題Proceedings of the 2018 IEEE 7th Asia-Pacific Conference on Antennas and Propagation, APCAP 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面136-138
頁數3
ISBN(電子)9781538656488
DOIs
出版狀態Published - 2018 十一月 15
事件7th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2018 - Auckland, New Zealand
持續時間: 2018 八月 52018 八月 8

出版系列

名字Proceedings of the 2018 IEEE 7th Asia-Pacific Conference on Antennas and Propagation, APCAP 2018

Other

Other7th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2018
國家New Zealand
城市Auckland
期間18-08-0518-08-08

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Computer Networks and Communications

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  • 引用此

    Xu, C. J., Wu, T. K., Cheng, R. H., & Yu, C. W. (2018). A Genetic Algorithm for Multiple Charging Car Scheduling Problem in Wireless Rechargeable Sensor Networks. 於 Proceedings of the 2018 IEEE 7th Asia-Pacific Conference on Antennas and Propagation, APCAP 2018 (頁 136-138). [8538108] (Proceedings of the 2018 IEEE 7th Asia-Pacific Conference on Antennas and Propagation, APCAP 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCAP.2018.8538108