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在中继节点等间距线性部署的无线传感器网络中,所有普通节点的能耗不均衡,因而网络过早死亡.为解决这个问题,在综合考虑所有普通节点能耗的基础上,提出一种网络能耗均衡算法.算法采用改进的粒子群算法对网络中中继节点的位置进行优化,适应度函数选取普通节点的能耗值的标准差.首先采用自适应的动态惯性权重替代基本粒子群算法的静态权重,加快了其收敛速度;然后利用提出的迭代多阶段粒子群算法优化中继节点的位置,均衡普通节点的能耗.仿真实验结果表明经改进后的粒子群优化的网络,能耗更为均衡,网络的生存周期得以延长.
In wireless sensor networks with equidistant and equidistant relay nodes deployed, the energy consumption of all ordinary nodes is unbalanced, and the network dies prematurely.To solve this problem, based on the comprehensive consideration of the energy consumption of all common nodes, a network Energy balance algorithm.The algorithm uses an improved Particle Swarm Optimization algorithm to optimize the position of the relay nodes in the network.The fitness function selects the standard deviation of the energy consumption of the ordinary nodes.First, adaptive dynamic inertia weight is used to replace the basic particle swarm optimization And then accelerate its convergence speed.And then use the proposed iterative multi-stage particle swarm optimization algorithm to optimize the location of relay nodes and equalize the energy consumption of ordinary nodes.Experimental results show that the improved particle swarm optimization network, energy consumption More balanced, network life cycle can be extended.