Liu Bingjie, Xu Haitao, Zhou Xianwei
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Sensors (Basel). 2019 Apr 22;19(8):1908. doi: 10.3390/s19081908.
Most of the wireless nodes in the Internet of Things (IoT) environment face the limited energy problem and the way to provide a sustainable energy for these nodes has become an urgent challenge. In this paper, we present an unmanned aerial vehicle (UAV) to power the wireless nodes in the IoT and an investigation on the optimal resource allocation approach based on dynamic game theory. This IoT system consists of one UAV as the power source and information receiver. The wireless nodes can be powered and collected by the UAV. In order to distinguish the wireless nodes, the wireless nodes are divided into two categories based on the energy consumption. The UAV tries to power these two categories of nodes using a different power level based on the proposed approach, where the wireless nodes control the resources for information transmission. Based on Bellman dynamic programming, the optimal allocated resources for power transfer and information transmission are obtained for both the UAV and wireless nodes, respectively. In order to show the effectiveness of the proposed model and approach, we present numerical simulations.
物联网（IoT）环境中的大多数无线节点都面临着能量有限的问题，为这些节点提供可持续能量的方法已成为一项紧迫的挑战。在本文中，我们提出了一种无人机（UAV）为物联网中的无线节点供电，并基于动态博弈论对最优资源分配方法进行了研究。这个物联网系统由一架作为电源和信息接收器的无人机组成。无线节点可以由无人机供电并进行信息采集。为了区分无线节点，根据能耗将无线节点分为两类。无人机尝试根据所提出的方法使用不同的功率水平为这两类节点供电，其中无线节点控制信息传输的资源。基于贝尔曼动态规划，分别为无人机和无线节点获得了用于功率传输和信息传输的最优分配资源。为了展示所提出模型和方法的有效性，我们进行了数值模拟。
