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Earning Maximization With Quality of Charging Service Guarantee for IoT Devices

机译:通过物联网设备的收费服务保证质量获得最大化

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摘要

Resonant beam charging (RBC) is a promising wireless power transfer technology to provide long-range, high-power, mobile, and safe wireless power for the Internet of Things devices. The point-to-multipoint (PtMP) RBC system can charge multiple receivers simultaneously similar to WiFi communications. To guarantee the quality of charging service (QoCS) for each receiver and maximize the overall earning in the PtMP RBC service, we specify the charging pricing strategy and develop the high priority charge (HPC) scheduling algorithm to control the charging order and power allocation. Each receiver is assigned a priority, which is updated dynamically based on its state of charging (SOC) and specified charging power. The receivers with high priorities are scheduled to be charged in each time slot. We present the pseudo code of the HPC algorithm based on quantifying the receiver's SOC, discharging energy, and various relevant parameters. Relying on simulation analysis, we demonstrate that the HPC algorithm can achieve better QoCS and earning than the round-robin charge scheduling algorithm. Based on the performance evaluation, we illustrate that the methods to improve the PtMP RBC service are: 1) limiting the receiver number within a reasonable range and 2) prolonging the charging duration as long as possible. In summary, the HPC scheduling algorithm provides a practical strategy to maximize the earning of the PtMP RBC service with each receiver's QoCS guarantee.
机译:共振波束充电(RBC)是一种有前途的无线电力传输技术,可为物联网设备提供远程,大功率,移动且安全的无线电力。点对多点(PtMP)RBC系统可以同时为多个接收器充电,类似于WiFi通信。为了保证每个接收方的计费服务(QoCS)的质量并最大程度地提高PtMP RBC服务的总收入,我们指定了计费定价策略并开发了高优先级计费(HPC)调度算法来控制计费顺序和功率分配。为每个接收器分配一个优先级,该优先级根据其充电状态(SOC)和指定的充电功率动态更新。高优先级的接收器计划在每个时隙中充电。我们基于量化接收器的SOC,释放能量和各种相关参数,介绍了HPC算法的伪代码。依靠仿真分析,我们证明了HPC算法可以实现比循环充电调度算法更好的QoCS和收益。基于性能评估,我们说明,改善PtMP RBC服务的方法是:1)将接收器数量限制在合理范围内; 2)尽可能延长充电时间。总之,HPC调度算法提供了一种实用的策略,可以在每个接收者的QoCS保证下最大化PtMP RBC服务的收益。

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