吴润泽, 王浩楠, 郭昊博, 许晨, 高娟. 基于动态引力场的高能效无线充电调度策略[J]. 现代电力, 2023, 40(6): 923-930. DOI: 10.19725/j.cnki.1007-2322.2022.0110
引用本文: 吴润泽, 王浩楠, 郭昊博, 许晨, 高娟. 基于动态引力场的高能效无线充电调度策略[J]. 现代电力, 2023, 40(6): 923-930. DOI: 10.19725/j.cnki.1007-2322.2022.0110
WU Runze, WANG Haonan, GUO Haobo, XU Chen, GAO Juan. A High-efficiency Wireless Charging Scheduling Strategy Based on Dynamic Gravitational Field[J]. Modern Electric Power, 2023, 40(6): 923-930. DOI: 10.19725/j.cnki.1007-2322.2022.0110
Citation: WU Runze, WANG Haonan, GUO Haobo, XU Chen, GAO Juan. A High-efficiency Wireless Charging Scheduling Strategy Based on Dynamic Gravitational Field[J]. Modern Electric Power, 2023, 40(6): 923-930. DOI: 10.19725/j.cnki.1007-2322.2022.0110

基于动态引力场的高能效无线充电调度策略

A High-efficiency Wireless Charging Scheduling Strategy Based on Dynamic Gravitational Field

  • 摘要: 针对能量传输效率对充电距离的敏感性导致节点充电效率低的问题,构建一种基于动态引力场的高能效无线充电调度策略。首先,考虑传感节点自身的能量状态,预测充电设备到达时的节点剩余能量,为评估出现死亡的节点建立价值节点集合;其次通过引入动态引力场理论,提出了一种基于动态引力场融合的多节点充电算法,考虑价值节点的剩余能量、消耗功率以及距基站的距离来定义节点的引力范围,根据引力场融合原则来选择更优的充电位置。最后对文中充电算法进行了仿真,并与多节点充电算法(multi-node rechargeable algorithm,MRA)和网格节点聚类(grid node clustering,GNC)算法进行了对比,验证了该充电算法能有效提高传感网络的能量效用,在保证合理充电时延的同时避免节点能量的过度损耗,显著增强网络的可持续性。

     

    Abstract: In allusion to the low nodal charging efficiency due to the sensitivity of energy transfer efficiency on the charging distance, a high efficient wireless charging dispatching strategy based on dynamic gravitational field was constructed. Firstly, considering the energy state of the sensing node itself, the nodal residual energy during the arrival of the charging equipment was predicted and a set of value nodes was established to estimate the dead node. Secondly, through leading in the theory of dynamic gravitational field, a multi-node charging algorithm based on the fusion of dynamic gravitational field was proposed, and considering the surplus energy, the consumed power and the distance to the base station of value nodes, the attractive range of the node was defined, and a better charging position was chosen according to the fusion principle of gravitational field. Finally, the simulation of the proposed charging algorithm was conducted, and by means of comparing the proposed charging algorithm with the multi-node rechargeable algorithm and the grid node clustering algorithm it is verified that using the proposed charging algorithm the energy efficiency of the sensor network can be effectively improved, and when reasonable charging delay was ensured the excessive loss of nodal energy can be avoided, so the network sustainability can be evidently enhanced.

     

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