摘要
针对变电站电能质量监测系统中无线传感器网络存在能量分布不均,消耗过大等不足之处,提出了一种基于蚁群的动态优化路径无线传感器网络路由算法,通过在信息素更新公式中引入路径能量、路由跳数等参数来平衡网络节点能量。通过仿真验证,该算法在降低网络能量消耗方面具有很好的效果。
In order to solve the problem of energy-unbalance and excessive consumption of WSN in substation power quality monitoring system, a dynamic adjustment path ant-based routing algorithm is proposed in this paper. In algo- rithm, the parameters of path energy and routing hops are added in pheromone updating formula to balance the net- work node energy. The simulation results show that the algorithm has a good effect in terms of reducing the network energy consumption.
出处
《电测与仪表》
北大核心
2015年第11期54-57,共4页
Electrical Measurement & Instrumentation
基金
国家自然科学基金资助项目(51277023)
关键词
电能质量监测
无线传感器网络
路由
蚁群算法
信息素
power quality monitoring, wireless sensor network, routing, ant colony algorithm, pheromone
