基于MEACO的无线传感器网络路由光通信算法研究

Study on Routing Optical Communication Algorithm for Wireless Sensor Networks based on Multi-path Energy Ant Colony Algorithm

无线传感器网络在获取重要数据信息时,为了将获得的有用信息,从源节点以最小的能量消耗传输到目标节点,以提高网络的使用寿命,本文结合能量消耗在无线传感器网络的具体特点,在无线传感器网络中引入蚁群算法,提出了基于蚁群算法的能量均衡的无线传感器网络路由方法。算法中通过蚁群理论以寻找源节点到目标节点过程中能量均衡的最优路径,并对路径中的信息素进行不断更新;此外对适应度函数进行了改进,并将节点间路径长度与剩余的节点能量作为其参数。仿真结果表明,本文算法与传统的ACO等算法相比,能够同时兼顾路径长度与节点能量消耗,网络能耗均低于传统算法下的网络能耗,大大增加了网络的使用周期。

While wireless sensor network is obtaining important data information,in order to transmit useful information from source node to target node,to improve life cycle of network,in this paper we combined specific features of wireless sensor network energy consumption,introduced ant colony algorithm in wireless sensor network,proposed a wireless sensor network routing method of energy balance based on ant colony algorithm.By Ant colony algorithm theory to find optimal path of energy balance in processing from the source node to the destination node,and pheromones in the path are constantly updated; in addition to improve moderation function and set the path length and the remaining energy in the network node as its argument. Simulation results show that the algorithm compared to traditional ACO,PACO algorithm can be taken into account,such as path length and energy consumption,energy consumption is lower than traditional method of consumption,greatly increasing the network＇s life cycle.