无线供电传感器网络中的最优功率控制：一种基于动态博弈的方法。

Optimal Power Control in Wireless Powered Sensor Networks: A Dynamic Game-Based Approach.

作者信息

Xu Haitao, Guo Chao, Zhang Long

机构信息

School of Computer and Communication Engineering, University of Science and Technology Beijing; Beijing 100083, China.

Communication Engineering Department, Beijing Electronics Science and Technology Institute, Beijing 100070, China.

出版信息

Sensors (Basel). 2017 Mar 9;17(3):547. doi: 10.3390/s17030547.

DOI:10.3390/s17030547

PMID:28282945

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5375833/

Abstract

In wireless powered sensor networks (WPSN), it is essential to research uplink transmit power control in order to achieve throughput performance balancing and energy scheduling. Each sensor should have an optimal transmit power level for revenue maximization. In this paper, we discuss a dynamic game-based algorithm for optimal power control in WPSN. The main idea is to use the non-cooperative differential game to control the uplink transmit power of wireless sensors in WPSN, to extend their working hours and to meet QoS (Quality of Services) requirements. Subsequently, the Nash equilibrium solutions are obtained through Bellman dynamic programming. At the same time, an uplink power control algorithm is proposed in a distributed manner. Through numerical simulations, we demonstrate that our algorithm can obtain optimal power control and reach convergence for an infinite horizon.

摘要

在无线供电传感器网络（WPSN）中，研究上行链路发射功率控制对于实现吞吐量性能平衡和能量调度至关重要。为了实现收益最大化，每个传感器都应具有最佳发射功率水平。在本文中，我们讨论了一种基于动态博弈的WPSN最优功率控制算法。其主要思想是利用非合作微分博弈来控制WPSN中无线传感器的上行链路发射功率，延长其工作时间并满足QoS（服务质量）要求。随后，通过贝尔曼动态规划获得纳什均衡解。同时，以分布式方式提出了一种上行链路功率控制算法。通过数值模拟，我们证明了我们的算法可以获得最优功率控制并在无限时域内达到收敛。