无线传感器网络最小能耗拓扑控制研究

Minimum Energy Consumption Topology Control for Wireless Sensor Networks

提出了一种基于人工免疫响应的无线传感器网络最小能耗拓扑控制方法,用于降低网络能耗。首先分析了无线传感器网络拓扑控制基本原理,然后建立了最小能耗拓扑控制人工免疫响应模型,利用人工免疫响应的全局并行搜索能力实现最小能耗拓扑控制,并证明了它的收敛性,改善了无线传感器网络拓扑控制能耗性能。仿真结果表明,该方法的能耗传输效率和收敛速度要优于遗传算法。

In order to reduce energy consumption of wireless sensor networks, a minimum energy consumption topology control method based on artificial immune response is proposed. The basic principle of topology control in wireless sensor networks is analyzed. An artificial immune response model used to the minimum energy consumption topology control is established. After that the minimum energy consumption topology control is achieved by using the parallel search ability of artificial immune response, and its convergence is also proved. The energy consumption performance of topology control in wireless sensor networks is improved. Compared with genetic algorithm, the simulation results show that the method can obtain better performance in terms of energy consumption transmission efficiency and convergence.