Earning Maximization with Quality of Charging Service Guarantee for IoT Devices
Wen Fang, Qingqing Zhang, Mingqing Liu, Qingwen Liu, and Pengfei Xia

TL;DR
This paper proposes a scheduling algorithm for resonant beam wireless charging of IoT devices that maximizes earnings while ensuring quality of charging, using dynamic priority-based scheduling and pricing strategies.
Contribution
It introduces the High Priority Charge (HPC) scheduling algorithm and a charging pricing strategy to optimize revenue and quality of service in multi-receiver wireless power transfer systems.
Findings
HPC algorithm outperforms Round-Robin in QoCS and earnings.
Dynamic priority scheduling improves charging efficiency.
Limiting receiver number and extending charging duration enhance performance.
Abstract
Resonant Beam Charging (RBC) is a promising Wireless Power Transfer (WPT) technology to provide long-range, high-power, mobile and safe wireless power for the Internet of Things (IoT) 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 (CPS) 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…
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