Unmanned aerial vehicles (UAVs) are usually dispatched as mobile sinks to assist data collection in large-scale wireless sensor networks (WSNs). However, when considering the limitations of UAV's mobility and communication capabilities in a large-scale WSN, some sensor nodes may run out of storage space as they fail to offload their data to the UAV for an extended period of time. To minimize the data loss caused by the above issue, a joint user scheduling and trajectory planning data collection strategy is proposed in this letter, which is formulated as a non-convex optimization problem. The problem is further divided into two sub-problems and solved sequentially. Simulation results show that the proposed strategy is more effective in minimizing data loss rate than other strategies.

翻译：无人驾驶飞行器(无人驾驶飞行器)通常作为移动汇体发送,以协助大型无线传感器网络的数据收集,然而,考虑到大型无线传感器网络对无人驾驶飞行器移动和通信能力的局限性,一些传感器节点可能因长时间未能向无人驾驶飞行器卸载数据而耗尽储存空间;为尽量减少上述问题造成的数据损失,本信提出了联合用户时间安排和轨迹规划数据收集战略,作为非电流优化问题拟订,进一步分为两个子问题,并按顺序解决。模拟结果表明,拟议战略在尽量减少数据损失率方面比其他战略更有效。