Weighted Clustering Based on Topology Maintenance Algorithm of Mobile Wireless Sensor Networks

YAO Yu-kun; LI Xiao-yong; XU Dong-liang; LIU Jiang-bing

Chinese

您当前的位置：

首页 >

文章列表页 >

Weighted Clustering Based on Topology Maintenance Algorithm of Mobile Wireless Sensor Networks

更新时间：2026-09-04

- Weighted Clustering Based on Topology Maintenance Algorithm of Mobile Wireless Sensor Networks
- Vol. 35, Issue 8, Pages: 55-59(2018)
- 作者机构：
  
  重庆邮电大学机构移动通信技术重庆市重点实验室,重庆,400065
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
姚玉坤, 李小勇, 徐栋梁, 刘江兵. 基于加权分簇的移动无线传感器网络拓扑维护算法[J]. 微电子学与计算机, 2018, 35(8): 55-59, 63.

YAO Yu-kun, LI Xiao-yong, XU Dong-liang, et al. Weighted Clustering Based on Topology Maintenance Algorithm of Mobile Wireless Sensor Networks[J]. 2018, 35(8): 55-59.
姚玉坤, 李小勇, 徐栋梁, 刘江兵. 基于加权分簇的移动无线传感器网络拓扑维护算法[J]. 微电子学与计算机, 2018, 35(8): 55-59, 63. DOI：

YAO Yu-kun, LI Xiao-yong, XU Dong-liang, et al. Weighted Clustering Based on Topology Maintenance Algorithm of Mobile Wireless Sensor Networks[J]. 2018, 35(8): 55-59. DOI：

摘要

针对移动无线传感器网络(mobile wireless sensor networks

MWSN)

本文提出了一种基于加权分簇的拓扑维护算法(Weighted clustering based topology maintenance algorithm

WCTMA)

该算法首先基于节点的移动性和剩余能量计算节点的权重值并对网络进行分簇; 然后利用节点间控制消息的发送和接收来判断网络拓扑是否发生变化; 最后根据引起网络拓扑发生变化的不同因素

具体设计了簇内和簇间的拓扑维护策略.仿真结果表明

WCTMA算法与FDRC算法在节点的平均剩余能量、网络的连通度、网络的生命周期等性能方面具有显著改善.

Abstract

To deal wth the problems of network topology change caused by node mobility

new nodes joining network

and node failure that impacted on network performance in mobile wireless sensor networks (MWSN). Weighted clustering based topology maintenance algorithm (WCTMA) was proposed in this paper.Firstly

the nodesweights were calculated based on the mobility and surplus energy

the network was clustered according to the nodesweights.Secondly

the control messages of transmission and reception between nodes was used to judge whether the network topology has changed.Finally

cluster topology maintenance strategy and inter-cluster topology maintenance strategy were designed according to the different factors that cause the network topology change.The simulation results show that the WCTMA algorithm has significantly improved compare with FDRC algorithm in average node residual energy

network connectivity degree and lifetime of network.

关键词

Keywords

references

Paranjape S, Sutaone M, Mukherji P. Fault detection and recovery of cluster heads in mobile wireless sensor networks[C]//TENCON 2015 IEEE Region 10 Conference. Penang, Malaysia, IEEE, 2015: 1-5.

Shahid A, Qureshi H K. A survey on topology maintenance techniques to extend the lifetime of wireless sensor networks[M]. Springer Berlin Heidelberg, Wireless Sensor Networks for Developing Countries. 2013:96-107.

Ying Z, Wei C, Liang J, et al. A network topology control and identity authenticationprotocol with support for movable sensor nodes[J]. Sensors, 2015, 15(12):29958-29969. DOI: 29958

Wightman P M, Labrador M. Topology maintenance: Extending the lifetime of wireless sensor networks[J]. Latin America Transactions iEEE, 2010, 8(4):469-475. DOI: 469

Vijayanand K, Rajesh K Y. Prolonging network lifetime by electing suitable cluster head by dynamic weight adjustment for weighted clustering algorithm in MANET[C]//2016 international Conference on Computing for Sustainable Global Development (indiacom).[s.l].2016: 2915-2920.

Tomoki Y, Shojiro N. Data transmission techniques for mobile sensor networks[C]//2014 28th international Conference on Advanced information Networking and Applications Workshops (WAiNA). Taipei, Taiwan, 2014.

苏晓, 于洪.移动自组织网中一种平均节点度分簇算法[J].重庆邮电大学学报自然科学版, 2010, 22(2):237-241. DOI: 237

Aparna M. A new method for controlling and maintaining topology in wireless sensor networks[J]. International Journal of Computer Networks % Communications, 2014, 6(4):91-98. DOI: 91

章韵, 宋汝芸, 陈志, 等.基于簇头选择的移动传感网拓扑控制算法研究[J].传感技术学报, 2011, 24(11):1602-1606. DOI: 1602

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Wireless Sensor Networks Cluster Head Selection Algorithm Based on Fuzzy Logic

Implementation and verification of a dual-chain power gating strategy for low power design

Steganography model guided by attention mechanism and improved dense convolution

Aerial vehicle detection algorithm based on multi-scale fusion and small-object enhancement

Microservices anomaly detection based on the correlation of monitoring metrics

Related Author

LUO Qin

WANG Xiao-Ming

Related Institution

1 College of Information Engineering, Jiangxi College of Technology

2 College of Computer Science, Shaanxi Normal University

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰