WSN clustering routing algorithm based on PSO optimized fuzzy C-means

Aimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed.POFCA was respectively optimized from the cluster stage and the data transmission stage.In the clustering stage, the particle swarm optimizati...

Full description

Saved in:
Bibliographic Details
Main Authors: Aijing SUN, Shichang LI, Yicai ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-03-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021053/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539295405408256
author Aijing SUN
Shichang LI
Yicai ZHANG
author_facet Aijing SUN
Shichang LI
Yicai ZHANG
author_sort Aijing SUN
collection DOAJ
description Aimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed.POFCA was respectively optimized from the cluster stage and the data transmission stage.In the clustering stage, the particle swarm optimization fuzzy C-means was firstly used to overcome the sensitivity to the initial clustering center.And the cluster head was dynamically updated according to the remaining power and the relative distance of the nodes to balance the network load.Then in the data transfer phase, a path evaluation function was designed based on the distance factor, the energy factor and the nodal load.Besides, the cat swarm optimization was used to search the optimal routing path for the cluster head to balance the load of the cluster head without increasing the load of the relay node.The simulation result shows that compared with algorithms of LEACH and LEACH-improved, POFCA can effectively balance the network load, reduce the energy consumption of nodes and extend the lifetime of the entire network.
format Article
id doaj-art-a3b86f0cfc42462abed6f047670d7548
institution Kabale University
issn 1000-436X
language zho
publishDate 2021-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a3b86f0cfc42462abed6f047670d75482025-01-14T07:21:47ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-03-0142919959740772WSN clustering routing algorithm based on PSO optimized fuzzy C-meansAijing SUNShichang LIYicai ZHANGAimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed.POFCA was respectively optimized from the cluster stage and the data transmission stage.In the clustering stage, the particle swarm optimization fuzzy C-means was firstly used to overcome the sensitivity to the initial clustering center.And the cluster head was dynamically updated according to the remaining power and the relative distance of the nodes to balance the network load.Then in the data transfer phase, a path evaluation function was designed based on the distance factor, the energy factor and the nodal load.Besides, the cat swarm optimization was used to search the optimal routing path for the cluster head to balance the load of the cluster head without increasing the load of the relay node.The simulation result shows that compared with algorithms of LEACH and LEACH-improved, POFCA can effectively balance the network load, reduce the energy consumption of nodes and extend the lifetime of the entire network.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021053/wireless sensor networkparticle swarm optimizationfuzzy C-meanscat swarm optimizationload balancing
spellingShingle Aijing SUN
Shichang LI
Yicai ZHANG
WSN clustering routing algorithm based on PSO optimized fuzzy C-means
Tongxin xuebao
wireless sensor network
particle swarm optimization
fuzzy C-means
cat swarm optimization
load balancing
title WSN clustering routing algorithm based on PSO optimized fuzzy C-means
title_full WSN clustering routing algorithm based on PSO optimized fuzzy C-means
title_fullStr WSN clustering routing algorithm based on PSO optimized fuzzy C-means
title_full_unstemmed WSN clustering routing algorithm based on PSO optimized fuzzy C-means
title_short WSN clustering routing algorithm based on PSO optimized fuzzy C-means
title_sort wsn clustering routing algorithm based on pso optimized fuzzy c means
topic wireless sensor network
particle swarm optimization
fuzzy C-means
cat swarm optimization
load balancing
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021053/
work_keys_str_mv AT aijingsun wsnclusteringroutingalgorithmbasedonpsooptimizedfuzzycmeans
AT shichangli wsnclusteringroutingalgorithmbasedonpsooptimizedfuzzycmeans
AT yicaizhang wsnclusteringroutingalgorithmbasedonpsooptimizedfuzzycmeans