摘要
针对节点能量过快消耗和节点之间的数据传输冗余现象以及路由转换问题的不足,提出一种基于蚁群算法的无线传感器网络路由控制优化算法;该算法利用节点与锚节点之间的无向网络图的特征,将信息素与节点能量相融合,通过蚁群算法遍历全局节点的同时对局部采用信息素更新策略,从而可以有效地抵制节点能量过快消耗;仿真实验表明,该算法不仅可以提高节点之间收敛的速度,而且还达到了网络节点能量的均衡,进而延长了网络生存周期。
Energy balance is a key problem in wireless sensor network research. Put forward a kind of wireless sensor network routing optimization control algorithm based on ant colony algorithm. The algorithm using node and anchor node between the characteristics of the undirected network diagram, the pheromone and the integration of node energy, through the ant colony algorithm traverse all the nodes of global and local pheromone update strategy, which can effectively resist the node energy consumption too rapidly, and result in the monito- ring area is out of control. Finally through the simulation experiments show that the proposed algorithm can not only improve the speed of convergence between nodes, but also to achieve the balance of the network node energy, and prolong the network life cycle.
出处
《计算机测量与控制》
北大核心
2014年第2期493-495,498,共4页
Computer Measurement &Control
基金
国家自然科学基金项目(60876014)
河南省自然科学基金资助项目(132300410085)
关键词
无线传感器网络
蚁群算法
分簇路由
优化算法
wireless sensor network （WSN）
ant colony algorithm
clustering routing
optimization algorithm
