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针对无线传感器网络(Wireless Sensor Network,WSN)路由优化算法存在的问题,提出一种基于改进蚁群算法的无线传感器网络路由算法。首先在蚁群算法的基础上,引入位置带概念,减少不必要的能量消耗。然后提出抵抗素策略,来达到能量的均衡,并充分利用构造路径成功的蚂蚁在返回源节点的过程中释放的协助信息,从而用于解决WSN路由优化算法问题。最后将该改进算法与基本洪泛算法和EEABR算法分别进行比较分析,仿真结果表明该方法在减少网络能耗,延长整个网络生命周期与实现能量均衡等方面均优于其他两种路由算法具有更好的性能。
Aiming at the existing problems of wireless sensor network (WSN) routing optimization algorithm, a routing algorithm based on improved ant colony algorithm for wireless sensor networks is proposed. First, based on the ant colony algorithm, the concept of location band is introduced to reduce unnecessary energy consumption. Then, a resist strategy is proposed to balance the energy and make full use of the aiding information released by the ants with successful path in the process of returning to the source node, so as to solve the WSN routing optimization algorithm problem. Finally, the improved algorithm is compared with the basic flooding algorithm and the EEABR algorithm respectively. The simulation results show that the proposed method is superior to the other two routing algorithms in reducing network energy consumption, extending the life cycle of the entire network and achieving energy balance Good performance.