A Novel Multi-Hop Clustering Routing Algorithm Based on Particle Swarm Optimization for Wireless Sensors Networks
Since wireless sensor network have a finite amount of energy, lowering network energy consumption and prolonging the life of the network are essential considerations for WSN applications. A novel multi-hop clustering routing algorithm based on particle swarm optimization was suggested to address the...
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| Vydáno v: | Wireless personal communications Ročník 130; číslo 2; s. 935 - 956 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
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01.05.2023
Springer Nature B.V |
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| ISSN: | 0929-6212, 1572-834X |
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| Abstract | Since wireless sensor network have a finite amount of energy, lowering network energy consumption and prolonging the life of the network are essential considerations for WSN applications. A novel multi-hop clustering routing algorithm based on particle swarm optimization was suggested to address the problem of existing routing algorithms' short network life. Formerly, the most suitable cluster head was chosen by taking into account the energy of sensor nodes, the distance between nodes in the cluster, the distance between cluster head and BS, and other factors during the cluster head selection stage. Second, a relay node selection mechanism is proposed during the data transmission stage. Finally, to decrease energy usage, the energy threshold re-clustering scheme is employed. In comparison to POFCA, LEACH, and EEUC, simulation experiments show that the EBPSO algorithm enhances network lifetime by 1.7 percent, 24.7 percent, and 9.2 percent, respectively. |
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| AbstractList | Since wireless sensor network have a finite amount of energy, lowering network energy consumption and prolonging the life of the network are essential considerations for WSN applications. A novel multi-hop clustering routing algorithm based on particle swarm optimization was suggested to address the problem of existing routing algorithms' short network life. Formerly, the most suitable cluster head was chosen by taking into account the energy of sensor nodes, the distance between nodes in the cluster, the distance between cluster head and BS, and other factors during the cluster head selection stage. Second, a relay node selection mechanism is proposed during the data transmission stage. Finally, to decrease energy usage, the energy threshold re-clustering scheme is employed. In comparison to POFCA, LEACH, and EEUC, simulation experiments show that the EBPSO algorithm enhances network lifetime by 1.7 percent, 24.7 percent, and 9.2 percent, respectively. Since wireless sensor network have a finite amount of energy, lowering network energy consumption and prolonging the life of the network are essential considerations for WSN applications. A novel multi-hop clustering routing algorithm based on particle swarm optimization was suggested to address the problem of existing routing algorithms' short network life. Formerly, the most suitable cluster head was chosen by taking into account the energy of sensor nodes, the distance between nodes in the cluster, the distance between cluster head and BS, and other factors during the cluster head selection stage. Second, a relay node selection mechanism is proposed during the data transmission stage. Finally, to decrease energy usage, the energy threshold re-clustering scheme is employed. In comparison to POFCA, LEACH, and EEUC, simulation experiments show that the EBPSO algorithm enhances network lifetime by 1.7 percent, 24.7 percent, and 9.2 percent, respectively. |
| Author | Wei, Peng Xiuwu, Yu Yong, Liu Zixiang, Zhou |
| Author_xml | – sequence: 1 givenname: Yu surname: Xiuwu fullname: Xiuwu, Yu organization: University of South China – sequence: 2 givenname: Zhou surname: Zixiang fullname: Zixiang, Zhou email: 1572217429@qq.com organization: University of South China – sequence: 3 givenname: Peng surname: Wei fullname: Wei, Peng organization: University of South China – sequence: 4 givenname: Liu surname: Yong fullname: Yong, Liu organization: University of South China |
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| Cites_doi | 10.1016/j.comnet.2022.108853 10.1109/JAS.2021.1004129 10.1007/s00500-016-2234-7 10.1016/j.jksuci.2019.04.003 10.1109/TII.2022.3148288 10.1007/s10796-008-9124-1 10.3390/math10111803 10.1109/TWC.2002.804190 10.3390/s19030671 10.1007/s11277-015-2846-8 10.1016/j.psep.2017.11.003 10.1016/j.asoc.2020.106115 10.1109/JSEN.2015.2475626 10.1109/TMC.2004.41 10.1109/JSEN.2018.2872065 10.1007/s11721-007-0002-0 10.1002/cpe.6013 |
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| Keywords | Energy-balanced Wireless sensors networks Particle swarm optimization Clustering algorithm |
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| SubjectTerms | Algorithms Clustering Communication Communications Engineering Computer Communication Networks Data transmission Energy consumption Energy efficiency Engineering Network topologies Networks Nodes Optimization Particle swarm optimization Protocol Sensors Signal,Image and Speech Processing Wireless sensor networks |
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| Title | A Novel Multi-Hop Clustering Routing Algorithm Based on Particle Swarm Optimization for Wireless Sensors Networks |
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