基于遗传算法的能量均衡覆盖控制策略

研究优化网络通信、延长网络寿命问题,由于无线传感器网络中覆盖率、工作节点数和能耗均衡互相矛盾。为了选择最优覆盖节点集基础上,同时考虑网络区域能耗的均衡特点,提出一种遗传算法的能量均衡覆盖控制策略。构建概率感知模型网络,定义一个能耗均衡系数用以表示网络能耗均衡程度,以覆盖率、工作节点数和网络能耗均衡系数为优化目标,然后利用遗传算法进行仿真。仿真结果表明,覆盖控制策略能够在达到较高覆盖率的同时,有效降低能耗并保证网络能量均衡,从而延长网络生存时间。

Energy- Balanced Coverage Control Strategy Based on Genetic Algorithm

Based on the selection of the optimal coverage set of nodes,an energy-efficient coverage control strategy was proposed for solving the contradictory problem of coverage,working nodes and energy balance in Wireless Sensor Networks.A network of probabilistic sensing model was built and an energy balance coefficient was set.Network coverage,working nodes and energy consumption coefficient were the optimization goals,then the genetic algorithm was used to get the optimal coverage soluntion.Simulation results show that the strategy can reduce and balance the energy consumption while ensuring the high network coverage,thus prolong the network lifetime efficiently.