作者： Yin Ge, Zhenchun Wei,  Zhongjun Ma,  Zengwei Lyu,  Lei Shi,  Zhen Wei

发表刊物：International Journal of Sensor Networks

年份：October 2023

摘要：In order to solve the problem of energy supplement in large-scale wireless sensor networks (WSNs), this paper investigates the charging planning problem by introduced multiple wireless charger equipment (WCE). We first established the optimisation model of the multi-WCE charging planning problem to minimise the total charging time and the total energy consumption of the WCE. Then, the problem is modelled as a reinforcement learning process, and the time step, state space, action space, state transfer function and reward function are designed. Moreover, based on the idea of swarm intelligence optimisation method, a multi-learners&39; strategy is introduced to enable multi-learners to parallel learning, so as to accelerate the solution finding speed. Therefore, a discrete firework Q-learning algorithm is proposed to solve the problem. Experiments show that the proposed algorithm outperforms the baseline algorithms in different network scales.

参考文献拷贝字段：Zengwei Lyu, Pengfei Li,  Zhenchun Wei, Juan Xu, Lei Shi. A Novel Mobile Charging Planning Method based on Swarm Reinforcement Learning in Wireless Sensor Networks[J]. SSRN, April 17, 2023