Joint Wireless Charging and Data Collection for UAV-Enabled Internet of Things Network
Joint Wireless Charging and Data Collection for UAV-Enabled Internet of Things Network
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DOI：
10.1109/jiot.2022.3190813
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发表时间：
2022-12
影响因子：
10.6
通讯作者：
Shuai Zhang;Weiqi Liu;Nirwan Ansari
中科院分区：
文献类型：
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作者：
Shuai Zhang;Weiqi Liu;Nirwan Ansari
物联网（IoT）设备通常部署在电池容量有限的偏远地区，因此通常缺乏永久电源。此外，物联网设备的计算能力通常有限，生成的数据需要卸载到更强大的计算服务器进行进一步处理。在本文中，我们研究了一种新型的无人机（UAV）支持的物联网网络，其中无人机通过在下行链路中使用无线电力传输（WPT）向地面物联网设备提供能量，并在上行链路中收集数据。在我们的工作中，我们根据任务收集和资源预算要求，通过确定无人机的轨迹和充电功率，资源分配和传输方案，尽量减少无人机的总能耗。为了使表述的问题更易于处理，我们将原问题分解为三个子问题（即传输关联问题、轨迹设计问题和资源分配问题），并利用块坐标下降法（BCD）交替求解。由于轨迹设计问题仍然是高度非凸的，我们进一步利用连续凸逼近（SCA）技术将其转化为凸问题。在仿真中，我们提供了大量的数值结果来证实我们提出的算法的有效性。
Internet of Things (IoT) devices usually lack perpetual power supply since they are generally deployed at remote areas with limited battery capacities. Moreover, the computing power of the IoT devices is usually limited and the generated data need to be offloaded to a more powerful computing server for further processing. In this article, we study a novel unmanned aerial vehicle (UAV)-enabled IoT network, where the UAV delivers energy to the ground IoT devices by employing wireless power transfer (WPT) in the downlink and collects data in the uplink. In our work, we try to minimize the total energy consumption of the UAV by determining the trajectory and charging power of the UAV, the resource allocation, and the transmission scheme subject to task collection and resource budget requirements. To make the formulated problem more tractable, we decompose the primal problem into three subproblems (i.e., the transmission association problem, the trajectory design problem, and the resource allocation problem) and utilize the block coordinate descent (BCD) method to solve them alternately. Since the trajectory design problem is still highly nonconvex, we further transform it into a convex one by leveraging the successive convex approximation (SCA) technique. In the simulation, we provide extensive numerical results to corroborate the effectiveness of our proposed algorithm.