###
计算机系统应用英文版:2017,26(2):129-133
本文二维码信息
码上扫一扫!
无线传感器网络分级成簇路由算法
(福建师范大学 协和学院信息技术系, 福州 350117)
Hierarchical Clustering Routing Algorithm for Wireless Sensor Network
(Concord College Department of Information Technology, Fujian Normal University, Fuzhou 350117, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1091次   下载 1429
Received:May 04, 2016    Revised:June 12, 2016
中文摘要: 针对时间驱动的数据收集方式,即不同类型的传感器以各自的周期采集数据,提出了一种多级分簇路由(HCRA)算法.在异构无线传感器网络中,应该均衡各类传感节点的能耗.HCRA算法在选举簇首节点时,充分考虑节点的数据采集周期,采用分级的门限阈值,提高了采集数据周期较高的节点成为簇首的概率与频率,延长了采集数据周期较低的节点生存时间.实验仿真表明,与LEACH、LEACH-MAC算法对比,在多级异构网络模型下,HCRA算法提供了更大的网络生存时间,提高了网络的稳定期.
Abstract:In this paper, a hierarchical clustering routing algorithm (HCRA) is proposed for time-driven data collection methods, in which different types of sensors have different data collection period. In heterogeneous Wireless Sensor Networks, the energy consumption of all kinds of sensor nodes should be balanced. In the choice of cluster head node, the data acquisition cycle between different nodes is adequately considered in the HCRA algorithm. The algorithm uses a hierarchical threshold, and the probability and frequency of nodes with higher acquisition cycle becoming cluster head nodes is increased, so it can prolong the life time of nodes with lower acquisition cycle. Compared with the LEACH and LEACH-MAC algorithm, the simulation shows that, in the multilevel heterogeneous network model, the HCRA algorithm provides longer network survival time, and the stability period of the network is improved.
文章编号:     中图分类号:    文献标志码:
基金项目:福建省教育厅A类科技项目(JA13368);福建师范大学协和学院教学改革研究项目(JG20140207);福建省中青年教师教育科研项目(JB13263)
引用文本:
徐世武.无线传感器网络分级成簇路由算法.计算机系统应用,2017,26(2):129-133
XU Shi-Wu.Hierarchical Clustering Routing Algorithm for Wireless Sensor Network.COMPUTER SYSTEMS APPLICATIONS,2017,26(2):129-133