摘要
针对无线传感器网络节点能耗较高问题,在考虑到资源限制的条件下,利用高效路由算法,寻找系统中的网络最优路径,可以有效降低系统中的网络资源损耗.在经典分簇路由算法基础上引入遗传算法,通过设计动态簇头选举,引入代价函数来改进簇间跳转策略,保证节点的路径选择为能量更高、位置更优的路径.结果证明,该算法可以有效提高系统节点能量利用效率、延长系统工作周期.
Wireless sensor networks are widely used in smart homes and other fields,but their node energy consumption is high,which affects normal operation of such networks.Considering the resource constraints,this paper uses an efficient routing algorithm in search of an optimal network path in the system to reduce the loss of network resources.Based on a classical clustering routing algorithm,this paper introduces genetic algorithm and cost function to improve internal cluster jump strategy,and designs dynamic cluster head election to ensure higher ability and better locations of the path selection of nodes.The results show that the algorithm proposed can significantly improve the utilization efficiency of system node capacity and prolong the system working cycle.
作者
胡长生
HU Chang-sheng(Fuzhou Software Technology Vocational College,Fuzhou 350211,China)
出处
《南京工程学院学报（自然科学版）》
2022年第3期28-32,共5页
Journal of Nanjing Institute of Technology(Natural Science Edition)
关键词
遗传算法
无线传感器网络
分簇路由算法
能耗
genetic algorithm
wireless sensor network
clustering routing algorithm
energy consumption
