无线传感器网络功率优化算法(英文)

An Evolutionary Approach to Energy Management in Wireless Sensor Network

无线传感器网络由许多电池能量有限的节点组成,该网络主要收集感知区域的信息.节点能量管理的优化对于延长网络寿命具有重要影响,如果每个节点直接向sink节点或基站发送信息,节点电池很快耗尽,网络也会失去作用.提出了动态路由的新方法以平衡节点能量开销,在Dijkstra最短路径算法和改进遗传算法的基础上,以功率有效性为首要原则,建立了网络拓扑.仿真结果接近最优解,达到节省能量的要求.

Wireless sensor network（WSN） consists of nodes which are constrained hy battery power and wireless link between nodes. WSN is capable of collecting data from sensing field. Energy is the most critical resource in the life of a sensor node,therefore, its usage must he optimized to maximize the network fife. If each node transmits data to sink or base station directly, then it will deplete its power quickly. This is one of the limitations of WSN. A new method of dynamic route to balance the power cost of the nodes is proposed. Based on the shortest path algorithm --Dijkstra and improved genetic algorithm, a network topology is set up. Experiments show that this method is rational and efficient for energy optimization management.