摘要
针对无线传感器网络(WSN)传统的层次聚类协议LEACH中的节点能量消耗速率快、网络生命周期短及通信能力弱等问题,提出了一种能量高效的改进LEACH协议(MOD-LEACH)。首先,全面兼顾节点剩余能量、邻居数量以及和基站间距离,求出节点作为簇头真实概率,借此优化簇头选举阈值。其次,节点按照簇头的能量、邻居数量和两者间距离,求出成本函数,从而科学判定簇头。最后,簇头根据与基站之间的距离通过单跳或者多跳方式和基站通信,以降低簇头能耗。仿真结果表明,MOD-LEACH协议性能比现有几种协议更优,该协议与LEACH、DEEC、H-LEACH相比,网络生命周期分别延长了61%、42.6%、14.2%,同时MOD-LEACH协议中基站接收的数据量相比其它三种协议也得到大幅提高。
Aiming at the problems of fast energy consumption rate,short network life cycle and weak communication capability of nodes in LEACH,a modified LEACH protocol(MOD-LEACH)with high energy efficiency was proposed.Firstly,the remaining energy of the node,the number of neighbors and the distance between the node and the base station are taken into full consideration to calculate the true probability of the node as the cluster head,so as to optimize the voting threshold of cluster heads.Secondly,the nodes calculate the cost function according to the energy of the cluster head,the number of neighbors and the distance between them,so as to judge the cluster head scientifically.Finally,the cluster head communicates with the base station through single-hop or multi-hop mode according to the distance between the cluster head and the base station,so as to reduce the energy consumption of the cluster head.Simulation results show that the performance of MOD-LEACH protocol is better than the existing protocols.Compared with LEACH,DEEC and H-LEACH,the network life cycle of this protocol is extended by 61%,42.6%and 14.2%respectively.At the same time,the amount of data received by the base station in MOD-LEACH protocol is also greatly improved compared with the other three protocols.
作者
朱素霞
马宏飞
孙广路
ZHU Su-xia;MA Hong-fei;SUN Guang-lu(School of Computer and Technology, Harbin University of Science and Technology, Harbin 150080,China)
出处
《哈尔滨理工大学学报》
CAS
北大核心
2021年第3期91-98,共8页
Journal of Harbin University of Science and Technology
基金
国家自然科学基金青年基金(61502123)
黑龙江省留学归国人员科学基金(LC2018030).
关键词
无线传感器网络
LEACH协议
能量高效
网络生命周期
簇头选举
wireless sensor network
low energy adaptive clustering hierarchy(LEACH)protocol
energy-efficient
network life cycle
election of cluster heads
