High-Speed Antenna Selection for Underwater Cognitive Radio Wireless Sensor Networks

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Sankar Ganesh, S. and Rajaprakash, S. (2022) High-Speed Antenna Selection for Underwater Cognitive Radio Wireless Sensor Networks. Scopus, 93. pp. 749-755. ISSN 2367-4512

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Abstract

Underwater acoustic sensor networks (UCASN) monitor amphibian environments. Submerged nodes face limited resources, including battery, bandwidth, and mobility, and are affected by temperature and propagation delays. A bio-powered Dolphin Swarm Optimization Algorithm (DSA) is applied to select optimal antennas for data transmission. DSA was simulated in NS2-Aquasim and improved data transmission reliability. © 2022 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects: Computer Science > Computer Science Applications
Computer Science > Information Systems
Computer Science > Media Technology
Computer Science > Computer Networks and Communications
Engineering > Electrical and Electronic Engineering
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai, India > Electronics and Communication Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 02 Dec 2025 09:36
URI: https://ir.vmrfdu.edu.in/id/eprint/3029

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