高动态无线可充电传感器网络充电规划研究

能量供给是维持无线传感器网络长期工作的重要手段，随着无线充电技术的日益成熟，带有能量更新能力的无线可充电传感器网络（Wireless Rechargeable Sensor Networks, WRSNs）更适合无人值守和长期部署的场合。现有工作已经对WRSNs的充电效率和开销问题展开了大量研究，然而新应用场景的不断出现，使得这些工作越显不足。复杂环境下，节点的位置、能耗和工作周期会随任务或事件改变，体现出高动态性和时变性。目前研究工作的模型建立在静止的、规律的网络对象上，无法适应这些变化。本项目针对高动态WRSNs位置、能耗和工作周期动态改变三个核心挑战，从节点自适应充电最优分配、时机约束有序充电路径规划、有限充电集聚类及路由优化等方面出发，以理论研究和大规模实验为手段，凝练科学问题，建立新模型，提高无线可充电传感器网络的充电效率，减少充电开销，为传感器网络的进一步实用打下基础。

Energy supply is one of the key means of prolonging the lifetime of wireless senor networks. As the wireless charging technique goes to practice, the energy-replenishment enabled wireless rechargeable sensor networks (WRSNs) tend to be deployed in the longtime unmonitored scenarios. Existing work has done an ample research on the efficiency and overhead of WRSNs, however, with the emergence of new applications, they expose their insufficiency. In a complex circumstance, the location, energy consumption or duty cycle of nodes will change dynamically along with time. The current mode adopted by related work is based on the stationary and regular network objects therefore it does not apply on the change. In this project, targeting at the three challenges of highly dynamical location, energy consumption and duty cycle, we will find the core science problem, build the new model, from the aspects of optimizing charging allocation, time-sensitive charging sequence planning, clustering of limited charging set and optimizing routing algorithm, by the means of theoretical research and experiments. Finally, the result will benefit the charging efficiency, reduce cost, and expedite the application of wireless sensor networks.