Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure
In the last decades, the low-energy adaptive clustering hierarchy (LEACH) protocol has become one of the most prominent protocols in wireless sensor networks (WSNs). Based on different application scenarios, researchers have come up with various modifications of the LEACH protocol, which are classif...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472201719X |
| _version_ | 1797901895925235712 |
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| author | Yadong Gong Junbo Wang Guoming Lai |
| author_facet | Yadong Gong Junbo Wang Guoming Lai |
| author_sort | Yadong Gong |
| collection | DOAJ |
| description | In the last decades, the low-energy adaptive clustering hierarchy (LEACH) protocol has become one of the most prominent protocols in wireless sensor networks (WSNs). Based on different application scenarios, researchers have come up with various modifications of the LEACH protocol, which are classified as clustering protocols. Nevertheless, in current clustering protocols, sensor nodes usually propagate messages over a large scale for cluster formation and discovering an optimal inter-cluster route, which consumes a large amount of energy. In this study, we introduce a Query-Driven Clustering (QDC) protocol to improve the energy efficiency in WSNs. The proposed QDC includes four sequential parts. Firstly, a size-balanced network partitioning algorithm is to split large-scale WSN into several small sub-networks with the help of 5G infrastructure. Secondly, an estimation-based mechanism aims to keep energy consumed in centralized sub-network information maintenance at a low level. Thirdly, in each sub-network, centralized query-driven clustering algorithms are introduced for clustering the query targets, which saves the high energy consumption for clustering nodes on a global scale. Lastly, as for inter-cluster routing in each sub-network, an energy-efficient and load-balanced routing scheme is developed. Through extensive experiments, QDC exhibits much higher energy efficiency and thus enhances the network lifetime, compared with other protocols in WSNs. |
| first_indexed | 2024-04-10T09:09:12Z |
| format | Article |
| id | doaj.art-c72d0c19ea5042ff92a50d1c1f4a064b |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:09:12Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-c72d0c19ea5042ff92a50d1c1f4a064b2023-02-21T05:13:13ZengElsevierEnergy Reports2352-48472022-11-0181144611455Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructureYadong Gong0Junbo Wang1Guoming Lai2School of Computer Science and Software, School of Big Data, Zhaoqing University, Zhaoqing, Guangdong, China; Corresponding author.School of Computer Science and Software, School of Big Data, Zhaoqing University, Zhaoqing, Guangdong, ChinaSchool of Computer Science and Engineering, Huizhou University, Huizhou, Guangdong, ChinaIn the last decades, the low-energy adaptive clustering hierarchy (LEACH) protocol has become one of the most prominent protocols in wireless sensor networks (WSNs). Based on different application scenarios, researchers have come up with various modifications of the LEACH protocol, which are classified as clustering protocols. Nevertheless, in current clustering protocols, sensor nodes usually propagate messages over a large scale for cluster formation and discovering an optimal inter-cluster route, which consumes a large amount of energy. In this study, we introduce a Query-Driven Clustering (QDC) protocol to improve the energy efficiency in WSNs. The proposed QDC includes four sequential parts. Firstly, a size-balanced network partitioning algorithm is to split large-scale WSN into several small sub-networks with the help of 5G infrastructure. Secondly, an estimation-based mechanism aims to keep energy consumed in centralized sub-network information maintenance at a low level. Thirdly, in each sub-network, centralized query-driven clustering algorithms are introduced for clustering the query targets, which saves the high energy consumption for clustering nodes on a global scale. Lastly, as for inter-cluster routing in each sub-network, an energy-efficient and load-balanced routing scheme is developed. Through extensive experiments, QDC exhibits much higher energy efficiency and thus enhances the network lifetime, compared with other protocols in WSNs.http://www.sciencedirect.com/science/article/pii/S235248472201719XWireless sensor networkEnergy efficiencyClusteringLEACH5G |
| spellingShingle | Yadong Gong Junbo Wang Guoming Lai Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure Energy Reports Wireless sensor network Energy efficiency Clustering LEACH 5G |
| title | Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure |
| title_full | Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure |
| title_fullStr | Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure |
| title_full_unstemmed | Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure |
| title_short | Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure |
| title_sort | energy efficient query driven clustering protocol for wsns on 5g infrastructure |
| topic | Wireless sensor network Energy efficiency Clustering LEACH 5G |
| url | http://www.sciencedirect.com/science/article/pii/S235248472201719X |
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