Research Article
Recharging Route Scheduling for Wireless Sensor Network Through Particle Swarm Optimization
237 downloads
@INPROCEEDINGS{10.1007/978-3-319-60753-5_2, author={Hengjing Zhang and Juan He and Runzhi Wang and Chuanxin Zhao and Fulong Chen and Yang Wang}, title={Recharging Route Scheduling for Wireless Sensor Network Through Particle Swarm Optimization}, proceedings={Industrial IoT Technologies and Applications. Second EAI International Conference, Industrial IoT 2017, Wuhu, China, March 25--26, 2017, Proceedings}, proceedings_a={INDUSTRIALIOT}, year={2017}, month={9}, keywords={Wireless rechargeable sensor network Network utility Particle swarm optimization TSP}, doi={10.1007/978-3-319-60753-5_2} }- Hengjing Zhang
Juan He
Runzhi Wang
Chuanxin Zhao
Fulong Chen
Yang Wang
Year: 2017
Recharging Route Scheduling for Wireless Sensor Network Through Particle Swarm Optimization
INDUSTRIALIOT
Springer
DOI: 10.1007/978-3-319-60753-5_2
Abstract
Wireless rechargeable sensor network can effective prolong the network lifetime through energy replenishment. However, how to schedule the energy replenishment still need to be carefully designed. In this paper, we proposed a novel route scheduling method for wireless sensor network to maximize network utility. Experiments results indicate that our method can more effective replenish energy than the compared method.
Copyright © 2017–2024 EAI
