Nodes clustering and multi-hop routing protocol optimization using hybrid chimp optimization and hunger games search algorithms for sustainable energy efficient underwater wireless sensor networks
Clustering and routing processes in underwater wireless sensor networks (UWSNs) are challenging tasks in the underwater environment due to the multiplicity of sensor nodes, transmission bandwidth, and limited energy resources. In order to address the shortcomings mentioned above, this paper proposes...
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| Published in | Sustainable computing informatics and systems Vol. 35; p. 100731 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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01.09.2022
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| Abstract | Clustering and routing processes in underwater wireless sensor networks (UWSNs) are challenging tasks in the underwater environment due to the multiplicity of sensor nodes, transmission bandwidth, and limited energy resources. In order to address the shortcomings mentioned above, this paper proposes a novel hybrid Chimp Optimization and Hunger Games Search (ChOA-HGS) algorithms for clustering and multi-hop routing optimization in UWSNs. In this approach, first, the ChOA is used to choose cluster heads and efficiently structure clusters. Then, the HGS-based routing procedure is used to determine the network’s best pathways. The proposed approach combines the advantages of clustering and routing, resulting in optimal network lifetime and energy efficiency. The proposed ChOA-HGS is validated using a variety of measures after it is simulated using three different scenarios. In order to evaluate the performance of the ChOA-HGS, results are compared to PSO, MPSO, IPSO-GWO, TEEN, and LEACH. The results show that the ChOA-HGS outperformed other benchmarks in terms of lifetime and energy consumption.
•ChOA is used to choose cluster heads and efficiently structure clusters.•HGS-based routing is used to determine the network’s best pathways.•The proposed approach combines the advantages of clustering and routing.•the outcome is optimal network lifetime and energy efficiency. |
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| AbstractList | Clustering and routing processes in underwater wireless sensor networks (UWSNs) are challenging tasks in the underwater environment due to the multiplicity of sensor nodes, transmission bandwidth, and limited energy resources. In order to address the shortcomings mentioned above, this paper proposes a novel hybrid Chimp Optimization and Hunger Games Search (ChOA-HGS) algorithms for clustering and multi-hop routing optimization in UWSNs. In this approach, first, the ChOA is used to choose cluster heads and efficiently structure clusters. Then, the HGS-based routing procedure is used to determine the network’s best pathways. The proposed approach combines the advantages of clustering and routing, resulting in optimal network lifetime and energy efficiency. The proposed ChOA-HGS is validated using a variety of measures after it is simulated using three different scenarios. In order to evaluate the performance of the ChOA-HGS, results are compared to PSO, MPSO, IPSO-GWO, TEEN, and LEACH. The results show that the ChOA-HGS outperformed other benchmarks in terms of lifetime and energy consumption.
•ChOA is used to choose cluster heads and efficiently structure clusters.•HGS-based routing is used to determine the network’s best pathways.•The proposed approach combines the advantages of clustering and routing.•the outcome is optimal network lifetime and energy efficiency. |
| ArticleNumber | 100731 |
| Author | Wu, Yunqiang Khishe, Mohammad Mohammadi, Mokhtar Yang, Yang Yuan, Hongji |
| Author_xml | – sequence: 1 givenname: Yang surname: Yang fullname: Yang, Yang organization: School of Electronics and Information, Nanchang Institute of Technology, Nanchang 330044 Jiangxi, China – sequence: 2 givenname: Yunqiang surname: Wu fullname: Wu, Yunqiang organization: School of Electronics and Information, Nanchang Institute of Technology, Nanchang 330044 Jiangxi, China – sequence: 3 givenname: Hongji surname: Yuan fullname: Yuan, Hongji email: byuanhongji2022@163.com organization: College of Computer Information and Engineering, Nanchang Institute of Technology, Nanchang 330044, China – sequence: 4 givenname: Mohammad surname: Khishe fullname: Khishe, Mohammad organization: Department of Electrical Engineering, Imam Khomeini Marine Science University, Nowshahr, Iran – sequence: 5 givenname: Mokhtar surname: Mohammadi fullname: Mohammadi, Mokhtar organization: Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, KR, Iraq |
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| Title | Nodes clustering and multi-hop routing protocol optimization using hybrid chimp optimization and hunger games search algorithms for sustainable energy efficient underwater wireless sensor networks |
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