Energy Aware Seagull Optimization-Based Unequal Clustering Technique in WSN Communication

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Anuradha, D. and Srinivasan, R. and Ch. Anil Kumar, T. and Faritha Banu, J. and Kumar Singh Pundir, Aditya and Vijendra Babu, D. (2022) Energy Aware Seagull Optimization-Based Unequal Clustering Technique in WSN Communication. Intelligent Automation & Soft Computing, 32 (3). pp. 1325-1341. ISSN 1079-8587

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Abstract

This study proposes a Seagull Optimization-based unequal clustering (SGOBUC) technique for wireless sensor networks (WSN) to enhance energy efficiency and address hot spot problems. Unequal clusters are formed to balance energy dissipation. The SGOBUC algorithm models seagull migration and attack behavior mathematically to optimize cluster formation. Simulation results demonstrate superior energy efficiency compared to existing techniques. © 2021 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects: Engineering > Engineering
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Electronics & Communication Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 02 Dec 2025 09:39
URI: https://vmuir.mosys.org/id/eprint/3036

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