针对无线传感器网络(WSNs)的热点区域问题所导致的节点能量异构、能量空洞等问题,对网络进行重新部署以满足区域覆盖的要求。建立WSNs能量异构节点区域覆盖优化模型,以网络覆盖率为目标函数,节点位置作为决策变量,采用差分进化算法优化该目标,同时获得各节点的最佳位置。仿真实验表明:该模型能充分调度各节点的剩余能量,对热区问题导致的能量空洞进行重新部署,该策略能够延长网络的生命周期,提高网络的可靠性。
Aiming at energy hole problem and energy-heterogeneous of nodes caused by hot spots problem in wireless sensor networks (WSNs) , redeploy the network to meet requirements of area coverage. The area coverage optimization model for energy-heterogenous nodes is established, choose network coverage rate as objective function and positions of nodes to be the decision variable, use differential evolution algorithm to optimize the target, at the same time, get the optimal positions of nodes. Simulation experiments show that this model can fully schedule remaining energy of each node, prolong network lifetime and improve the reliability of WSNs.