摘要
为了提高无线传感器网络路径优化效率,快速找到最优路径,提出基于蚁群-遗传算法的传感器路径优化方法.利用遗传算法的快速全局搜索能力和蚁群算法的正反馈机制,实现了两种算法的融合.仿真结果表明,蚁群-遗传算法在时间和性能上都优于单独的蚁群算法和遗传算法,能快速找到无线传感器网络最优路径,有效延长了网络的生命周期.
In order to improve the wireless sensor network path optimization efficiency,quick to find the optimal path,based on ant colony-genetic algorithm sensor path optimization method.Using genetic algorithm is proposed to fast the global search ability and ant colony algorithm for positive feedback mechanism,to realize the integration of the two algorithm.Simulation results show that the ant colony-the genetic algorithm in time and performance is better than the single ant colony algorithm and genetic algorithm,can quickly find wireless sensor network optimal path,prolong the network lifetime.
出处
《微电子学与计算机》
CSCD
北大核心
2011年第9期139-142,共4页
Microelectronics & Computer
关键词
无线传感器网络
遗传算法
蚁群算法
网络路径
wireless sensor network
genetic algorithm
ant colony algorithm
network path
