基于改进粒子群算法的WSNs节点能量均衡覆盖策略

Node energy balanced coverage strategy in WSNs based on improved PSO algorithm

在选择节点最优覆盖基础上,考虑网络区域能耗的均衡问题,引入粒子位置更新扰动因子,通过优化节点之间通信距离来提高网络覆盖率和平衡网络能量的消耗。同时针对迭代后期粒子易陷入局部最优解问题,提出余弦动态调整惯性权重,增加迭代初期的全局搜索时间和迭代后期的局部索搜时间。仿真结果表明:所提覆盖策略可以较好地提高网络覆盖率,并均衡网络中的能量消耗。

An energy balanced coverage strategy based on particle swarm optimization(PSO)is proposed.Residual energy of the node is considerd,the particle position update disturbance factor,is introduced and improves the network coverage rate and balance energy consumption by optimizing the communication distance between nodes.At the same time,because the algorithm is easy to fall into the local optimal solution problem after the iteration,the cosine dynamic adjustment inertia weight is proposed to increase the global search time in the initial iteration and the local search time in the later iteration.The simulation results show that the coverage strategy can improve the network coverage rate and balance the energy consumption in the network very well.