无线自组网络传输路径优化的算法研究

Transmission Path Optimization and Simulation of Wireless Ad Hoc Network

无线自组网络通信是一种比较常用的通信方式,无线自组网扩大传输距离是通过网络节点之间接力传输方式来实现.为了降低传输的冗余度,提高传输效率,数据在无线线自组网传输的过程中需要对传输路径进行优化.论文采用改进的遗传算法和蚁群算法对传输路径进行优化,通过仿真验证和对比分析,改进的遗传算法在传输路径优化中有更高的效率.论文研究结果为解决无线自组网络的传输路径优化问题提供重要的算法理论依据.

Wireless Ad Hoc network(MANET)communication is a common communication mode.The extension of transmission distance in Ad Hoc network is realized by relay transmission between network nodes.In order to reduce the redundancy of transmission and improve the transmission efficiency,the transmission path needs to be optimized in the process of Ad Hoc network transmission.This paper uses the improved genetic algorithm and ant colony algorithm to optimize the transmission path.Through simulation and comparative analysis,the improved genetic algorithm has higher efficiency in the transmission path optimization.The research results provide an important theoretical basis for solving the transmission path optimization problem in wireless Ad Hoc networks.