低损耗无线传感器网络拓扑控制算法仿真

Simulation of Topology Control Algorithm for Low Loss Wireless Sensor Networks

针对当前网络拓扑控制算法中存在的节点能耗较高、组网时间较长、节点存活周期较短等问题,提出基于节点负载均衡模型的低损耗无线传感器网络拓扑控制算法.利用适应度函数与通信效率函数调整节点自身的发射功率,增强节点的网络拓扑适应性,调控邻接节点数量,结合通信范围内邻节点分布情况,构建网络节点负载均衡模型,通过模型调节实现节点负载均衡.采用博弈理论收益函数及自有空间模型,构造邻节点选择策略集,根据较优反应策略选择下跳拓扑节点,控制节点损耗.实验结果表明,所提算法相比当前网络拓扑控制算法,网络拓扑控制过程耗时更短,网络节点的存活时间更长,且网络节点的能量损耗更低.

Due to high energy consumption,long networking time and short survival time of nodes of current network topology control algorithms,this article presented an algorithm of network topology control for low-loss wireless sensor based on node load balancing model. The fitness function and the communication efficiency function were used to adjust the transmitting power of node itself and enhance the network topology adaptability of node. The number of adjacent nodes was adjusted. Based on the distribution of adjacent nodes in the communication range,the network node load balancing model was constructed,so that the node load balancing was realized through model adjustment. Moreover,the game theory revenue function and its own space model were used to construct the adjacent node selection strategy set. According to the optimal response strategy,the next - hop topology node was selected to control the node loss. Simulation results show that,compared with the current algorithm,the proposed algorithm is less time consuming. Meanwhile,the network node has longer survival time and lower energy loss.