基于元胞蚁群优化算法的农业无线传感器网络路由研究

摘要

无线传感器网络(WSNs)进行农业信息采集时,针对传感器节点数量多,能量消耗不均衡的特点,提出基于元胞蚁群优化(CACO)的WSNs路由算法.算法将网络中的节点映射成CACO算法中的元胞,通过改进蚂蚁信息素更新模型,引入睡眠唤醒机制,有效地减少了节点间的通信,从而改善能量消耗不均衡.仿真结果表明:该算法有效地减少了网络耗能、节点消亡数量,延长了网络生命期.%In order to overcome the problems of node numbers of sensors and unbalanced energy consumption in agriculture information collection with wireless sensor networks (WSNs) , proposed a routing algorithm for WSNs based on the cellular ant colony optimization (CACO) algorithm. In this algorithm,network nodes are represented into CACO algorithm, and the communication between nodes is effectively reduced by improving ant pheromone update models and introducing mechanisms of sleep wake,therefore the problem of unbalanced energy consumption is improved. Simulation results show that the proposed algorithm effectively reduces network energy consumption and the number of dead nodes,and extends network lifetime.