摘要
针对传统低功耗自适应集簇分层型拓扑控制算法(LEACH)存在以随机数选取簇头以及在选簇头时未考虑节点剩余能量而易导致低能量节点过早死亡的问题,提出一种改进方法。优化整个网络的能耗推导确定网络的最优簇头数,并通过均衡化思想设定簇头选择阈值。仿真结果表明。该算法与LEACH算法相比,网络能耗更加均衡,有效延长了网络生存期。
The traditional low energy adaptive clustering hierarchy topology control algorithm(LEACH)selects the cluster heads with random numbers and ignores the residual energy of nodes when selecting cluster heads,which can easily lead to premature death of low-energy nodes.Aiming at these problems,this paper puts forward an improved method.It optimized the energy consumption of the whole network to determine the optimal number of cluster heads,and the threshold of cluster head selection was set by the idea of equalization.Simulation results show that the improved algorithm is more balanced than that of LEACH algorithm,and effectively prolongs the lifetime of the network.
作者
张帅
杨清海
冯友兵
Zhang Shuai;Yang Qinghai;Feng Youbing(State Key Laboratory of Integrated Services Networks,School of Telecommunications Engineering,Xidian University,Xi’an 710071,Shaanxi,China;School of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang 212003,Jiangsu,China)
出处
《计算机应用与软件》
北大核心
2020年第1期133-137,共5页
Computer Applications and Software
基金
国家自然科学基金项目(61471287)
关键词
无线传感器网络
拓扑控制
LEACH
能耗均衡
Wireless sensor networks
Topology control
LEACH
Balance of energy consumption
