Energy-efficient artificial fish swarm-based clustering protocol for enhancing network lifetime in underwater wireless sensor networks

Energy-efficient artificial fish swarm-based clustering protocol for enhancing network lifetime in underwater wireless sensor networks

Abstract Underwater wireless sensor networks (UWSNs) face significant challenges, such as limited energy resources, high propagation delays, and harsh underwater environments. Efficient clustering can help address these challenges by grouping nearby nodes to minimize network fragmentation and balanc...

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Bibliographic Details
Main Authors: Puneet Kaur, Kiranbir Kaur, Kuldeep Singh, Kiran Saleem, Ateeq Ur Rehman, Rupesh Gupta, Seada Hussen Adem
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Underwater wireless sensor network (UWSN)
Acoustic monitoring
Energy efficiency
Clustering
Artificial fish swarm algorithm (AFSA)
Online Access:https://doi.org/10.1186/s13638-024-02422-z
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https://doi.org/10.1186/s13638-024-02422-z

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