基于能量均衡的认知无线电双向中继网络能耗优化研究

针对使用电池的认知无线电（CR）节点能量消耗不均衡导致系统节点生存时间短，能量利用率低的问题，提出了一种基于双向中继（TWR）的无线通信能耗均衡通信系统.该系统由源节点、目的节点、双向中继及其接收节点组成，每个节点分配初始能量，节点间通过合理的方法设置发射功率来实现功率归一化处理，从而平衡节点间的能量，防止网络中部分节点由于能量耗尽过早消亡，实现无线通信网络中节点能量的均衡和网络生存寿命的最大化.仿真结果表明，本文提出的基于能量归一化均衡算法可最大化能效，并能提高能量利用率的同时延长系统生存时间.

Energy Consumption Optimization of Cognitive Radio Relay Network Based on Energy Normalization

In view of the problem that the node energy consumption is not balanced and system survival time unbalanced,put forward a kind of energy consumption balancing communication system based on two-way relay (TWR) in Cognitive radio networks (CRN).The system consists of source node and destination node,two-way relay (TWR) and receiving nodes,each node distribute initial energy,through setting up reasonable transmitted power to achieve power normalization processing,balance the node energy,in order to prevent the part of the node perish due to run out of energy,to realize Cognitive radio network (CRN) node energy equilibrium and maximize survival of life.Simulation results show that the proposed based on the normalized energy equalization algorithm can maximize efficiency,extend the system survival time while improve the utilization ratio of energy.