Sensing data collection and energy supplement are key issues of Wireless Rechargeable Sensor Network (WRSN). Using mobile vehicles to collect data and supplement energy can not only effectively reduce the node communication energy consumption, but also ensure the continuity of network operation. We propose an energy-minimization path construction algorithm based on dual-function vehicles for data collection and wireless charging in order to minimize the network energy consumption. The algorithm consists of three phases: adaptive network partition, anchor selection, and dual-function vehicle path construction. A partitioning algorithm based on a minimum spanning tree is proposed to divide the network into several regions in the adaptive network partition phase. Anchor selection phase is used to obtain data collection points in each region. The path construction phase is designed to construct a vehicle mobile path with anchors and charging nodes. Finally, experiments show that the algorithm can not only effectively reduce network energy consumption, but also prolong network lifetime and increase collected data amount.

传感数据收集和能量补充是无线可充电传感器网络（WRSN）的关键问题。使用移动车辆收集数据和补充能量，不仅可以有效降低节点通信能耗，而且可以确保网络运行的连续性。为了最小化网络能耗，我们提出了一种基于双功能车辆的能量最小化路径构建算法，用于数据收集和无线充电。该算法包括三个阶段：自适应网络划分，锚点选择和双重功能的车辆路径构造。提出了一种基于最小生成树的划分算法，在自适应网络划分阶段将网络划分为多个区域。锚点选择阶段用于获取每个区域中的数据收集点。路径构建阶段旨在构建具有锚点和充电节点的车辆移动路径。最后，实验表明，该算法不仅可以有效降低网络能耗，而且可以延长网络寿命，增加收集的数据量。