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.
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Zhang, H., He, J., Wang, R., Zhao, C., Chen, F., Wang, Y. (2017). Recharging Route Scheduling for Wireless Sensor Network Through Particle Swarm Optimization. In: Chen, F., Luo, Y. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-60753-5_2
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