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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Vydané v:Wireless personal communications Ročník 130; číslo 2; s. 935 - 956
Hlavní autori: Xiuwu, Yu, Zixiang, Zhou, Wei, Peng, Yong, Liu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.05.2023
Springer Nature B.V
Predmet:
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
Energy-balanced
Wireless sensors networks
Particle swarm optimization
Clustering algorithm
ISSN:0929-6212, 1572-834X
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-023-10314-6