On Optimal Scheduling in Wireless Rechargeable Sensor Networks for Stochastic Event Capture

Recently, wireless recharging technologies have merged as a promising approach to address the energy constraint problem in Wireless Sensor Networks (WSNs). Far from other energy-harvesting sensor nodes, wireless rechargeable sensor nodes are thin small-size, enabling a large range of applications such as embedded infrastructure sensing and human activity recognition. A typical Wireless Rechargeable Sensor Network (WRSN) includes two components: i) a collection of rechargeable sensor nodes and ii) several readers, capable of mobility and functioning as energy distributors and data collectors. In this paper, we for the first time investigate the optimal scheduling problem in WRSN for stochastic event capture, i.e., how to jointly mobilize the readers for energy distribution and schedule sensor nodes for efficient event capture. We extensively study the problem and analyze the quality of capture for different application scenarios. At last, numerical results are offered to demonstrate the correctness and effectiveness of our solutions.