An Energy-Efficient Clustering Routing for Wireless Sensor Networks Based on Energy Consumption Optimization

In order to alleviate energy consumption of wireless sensor networks (WSNs), energy consumption optimization-based clustering routing (ECOR) is proposed in this paper. In ECOR, network is gridding by hexagon. And there is only a cluster head (CH) in each hexagon, which makes the distribution of CHs...

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Main Authors: Xu Huibin, Zeng Mengjia
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Digital Multimedia Broadcasting
Online Access:http://dx.doi.org/10.1155/2022/5566365
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author Xu Huibin
Zeng Mengjia
author_facet Xu Huibin
Zeng Mengjia
author_sort Xu Huibin
collection DOAJ
description In order to alleviate energy consumption of wireless sensor networks (WSNs), energy consumption optimization-based clustering routing (ECOR) is proposed in this paper. In ECOR, network is gridding by hexagon. And there is only a cluster head (CH) in each hexagon, which makes the distribution of CHs more even. Residual energy of nodes and distance from the centroid of hexagon are used to elect CHs. For any a CH, dynamic time slot allocation strategy is adopted to allocate time slot for its cluster members. According to status of cluster members, the duration of time slot is dynamically adjusted. In intercluster communication, the Dijkstra algorithm is used to construct the shortest path between CHs in order to shorten the distance of transmitting data. Simulation results show that the ECOR algorithm outperforms the improved-Low Energy Adaptive Clustering Hierarchy (I-LEACH) algorithm in terms of distribution of CHs and energy consumption.
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institution Kabale University
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language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series International Journal of Digital Multimedia Broadcasting
spelling doaj-art-dba7e38ce83246e5b97138690b0923742025-08-20T03:24:21ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75862022-01-01202210.1155/2022/5566365An Energy-Efficient Clustering Routing for Wireless Sensor Networks Based on Energy Consumption OptimizationXu Huibin0Zeng Mengjia1School of Information EngineeringSchool of Information EngineeringIn order to alleviate energy consumption of wireless sensor networks (WSNs), energy consumption optimization-based clustering routing (ECOR) is proposed in this paper. In ECOR, network is gridding by hexagon. And there is only a cluster head (CH) in each hexagon, which makes the distribution of CHs more even. Residual energy of nodes and distance from the centroid of hexagon are used to elect CHs. For any a CH, dynamic time slot allocation strategy is adopted to allocate time slot for its cluster members. According to status of cluster members, the duration of time slot is dynamically adjusted. In intercluster communication, the Dijkstra algorithm is used to construct the shortest path between CHs in order to shorten the distance of transmitting data. Simulation results show that the ECOR algorithm outperforms the improved-Low Energy Adaptive Clustering Hierarchy (I-LEACH) algorithm in terms of distribution of CHs and energy consumption.http://dx.doi.org/10.1155/2022/5566365
spellingShingle Xu Huibin
Zeng Mengjia
An Energy-Efficient Clustering Routing for Wireless Sensor Networks Based on Energy Consumption Optimization
International Journal of Digital Multimedia Broadcasting
title An Energy-Efficient Clustering Routing for Wireless Sensor Networks Based on Energy Consumption Optimization
title_full An Energy-Efficient Clustering Routing for Wireless Sensor Networks Based on Energy Consumption Optimization
title_fullStr An Energy-Efficient Clustering Routing for Wireless Sensor Networks Based on Energy Consumption Optimization
title_full_unstemmed An Energy-Efficient Clustering Routing for Wireless Sensor Networks Based on Energy Consumption Optimization
title_short An Energy-Efficient Clustering Routing for Wireless Sensor Networks Based on Energy Consumption Optimization
title_sort energy efficient clustering routing for wireless sensor networks based on energy consumption optimization
url http://dx.doi.org/10.1155/2022/5566365
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