无线传感器网络基于容量和传输能耗的功率与信道联合博弈算法  

Research of Network Capacity and Transmission Energy Consumption in WSNs Based on Game Theory

作　　者：郝晓辰[1] 刘金硕[1] 姚宁[1] 解力霞 王立元 HAO Xiaochen;LIU Jinshuo;YAO Ning;XIE Lixia;WANG Liyuan(Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Chin)

机构地区：[1]燕山大学电气工程学院,秦皇岛066004

出　　处：《电子与信息学报》2018年第7期1715-1722,共8页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61403336);河北省自然科学基金(F2015203342);燕山大学青年教师自主研究计划课题B类(15LGB007)~~

摘　　要：针对无线传感器网络(WSNs)日益增大的干扰导致网络容量下降的问题,同时考虑到网络能量有限性,该文综合网络容量和链路传输能耗,构建了高容量低传输能耗的功率控制与信道分配联合博弈模型,并通过理论分析证明该模型存在最优功率和最优信道。继而采用最佳响应策略,在该博弈模型基础上提出了一种功率控制与信道分配联合优化算法(PCOA),理论证明其能收敛到纳什均衡状态,且具有较小的信息复杂度。最后,仿真结果表明,PCOA算法能够达到降低网络干扰和链路能耗,增大网络容量的目的。To solve the problem that the network capacity decreases with the increasing interference in Wireless Sensor Networks （WSNs）, a joint power control and channel allocation optimization game model is constructed, which considers the limitation of network energy. This game model contains the network capacity and the energy consumption of data transmission in the network. Theoretical analysis proves the existence of the optimal power and the optimal channel. Based on the model, a joint Power control and Channel allocation Optimization Algorithm for wireless sensor networks （PCOA） is proposed, which adopts the best response strategy. The theoretical analysis proves that this algorithm can converge to Nash Equilibrium. Besides, the information complexity of this algorithm is small. Simulation results show that PCOA algorithm can reduce the interference and the energy consumption, which increases the network capacity.

关 键 词：无线传感器网络 网络容量 能耗 功率控制 信道分配 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]