A Competition-Based Unequal Clustering Multihop Approach for Wireless Sensor Networks

The energy efficiency and stability of wireless sensor networks (WSNs) have always been a hot issue in the research. Clustering is a typical architecture for WSNs, and cluster heads (CHs) play a vital role. Unreasonable CH selection causes a lot of energy consumption. In this paper, we propose a com...

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Main Authors: Jing Liu, Shoubao Su, Yuhua Lu, Jun Dong
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Security and Communication Networks
Online Access:http://dx.doi.org/10.1155/2021/9994136
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spelling doaj-0309b213c56f4b1880b1a3094a45f3c72021-07-05T00:02:52ZengHindawi-WileySecurity and Communication Networks1939-01222021-01-01202110.1155/2021/9994136A Competition-Based Unequal Clustering Multihop Approach for Wireless Sensor NetworksJing Liu0Shoubao Su1Yuhua Lu2Jun Dong3Key Laboratory of Data Science & Smart SoftwareKey Laboratory of Data Science & Smart SoftwareKey Laboratory of Data Science & Smart SoftwareKey Laboratory of Data Science & Smart SoftwareThe energy efficiency and stability of wireless sensor networks (WSNs) have always been a hot issue in the research. Clustering is a typical architecture for WSNs, and cluster heads (CHs) play a vital role. Unreasonable CH selection causes a lot of energy consumption. In this paper, we propose a competition-based unequal clustering multihop approach (CUCMA). CHs are selected by competition. First, the cluster radius (CR) of a node is calculated according to the distance to base station (BS). Then, CR is resized based on the number of around nodes. Only the nodes with high residual energy and appropriate distances to the selected CHs maybe become CHs, which are usually closer to the surrounding nodes. CUCMA and four related approaches are simulated in different scenarios. The results are analyzed, and it is proved that CUCMA balances the energy consumption of the CHs and reduces the energy consumption of the whole networks, thus leading to prolong the lifetime of WSNs.http://dx.doi.org/10.1155/2021/9994136
collection DOAJ
language English
format Article
sources DOAJ
author Jing Liu
Shoubao Su
Yuhua Lu
Jun Dong
spellingShingle Jing Liu
Shoubao Su
Yuhua Lu
Jun Dong
A Competition-Based Unequal Clustering Multihop Approach for Wireless Sensor Networks
Security and Communication Networks
author_facet Jing Liu
Shoubao Su
Yuhua Lu
Jun Dong
author_sort Jing Liu
title A Competition-Based Unequal Clustering Multihop Approach for Wireless Sensor Networks
title_short A Competition-Based Unequal Clustering Multihop Approach for Wireless Sensor Networks
title_full A Competition-Based Unequal Clustering Multihop Approach for Wireless Sensor Networks
title_fullStr A Competition-Based Unequal Clustering Multihop Approach for Wireless Sensor Networks
title_full_unstemmed A Competition-Based Unequal Clustering Multihop Approach for Wireless Sensor Networks
title_sort competition-based unequal clustering multihop approach for wireless sensor networks
publisher Hindawi-Wiley
series Security and Communication Networks
issn 1939-0122
publishDate 2021-01-01
description The energy efficiency and stability of wireless sensor networks (WSNs) have always been a hot issue in the research. Clustering is a typical architecture for WSNs, and cluster heads (CHs) play a vital role. Unreasonable CH selection causes a lot of energy consumption. In this paper, we propose a competition-based unequal clustering multihop approach (CUCMA). CHs are selected by competition. First, the cluster radius (CR) of a node is calculated according to the distance to base station (BS). Then, CR is resized based on the number of around nodes. Only the nodes with high residual energy and appropriate distances to the selected CHs maybe become CHs, which are usually closer to the surrounding nodes. CUCMA and four related approaches are simulated in different scenarios. The results are analyzed, and it is proved that CUCMA balances the energy consumption of the CHs and reduces the energy consumption of the whole networks, thus leading to prolong the lifetime of WSNs.
url http://dx.doi.org/10.1155/2021/9994136
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