Industrial IoT Technologies and Applications. Second EAI International Conference, Industrial IoT 2017, Wuhu, China, March 25–26, 2017, Proceedings

Research Article

Recharging Route Scheduling for Wireless Sensor Network Through Particle Swarm Optimization

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  • @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
Hengjing Zhang1, Juan He1, Runzhi Wang1, Chuanxin Zhao1,*, Fulong Chen1, Yang Wang1
  • 1: Anhui Normal University
*Contact email: zhaocx@ahnu.edu.cn

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.