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

Ganesh, S. Sankar and Rajaprakash, S. (2022) High-Speed Antenna Selection for Underwater Cognitive Radio Wireless Sensor Networks. SUSTAINABLE COMMUNICATION NETWORKS AND APPLICATION, ICSCN 2021, 93.0. pp. 749-755. ISSN 2367-4512

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Abstract

The underwater acoustic sensor network (UCASN) is used to monitor amphibian climate. The submerged hubs request for continual and ceaseless inspection. The submerged hubs are placed at various depths to stimulate the information transmission from the water depth sensor to floats hub. Regardless, the submerged organization has limited organizational assets. For example, battery, data transfer capacity and helpless in portability, heat-graphic conditions and spread postponement. The resulting delay and heat-graphic condition drags out the packet node's preparation and delays network operation. Deferred network activity increases hub battery usage and overhead. As a result, a bio-powered Dolphin Swarm Optimization Algorithm (DSA) is executed to find the optimal receiving wire for information transmission. DSA selects the ideal radio wire for information correspondence by assessing affirmation parcel obtained for the information sent through accessible receiving wires. The DSA was recreated in NS2-Aquasim climate and test bed to assess its presentation. The DSA improved information possess unwavering quality.

Item Type: Article
Uncontrolled Keywords: UCASN, Thermographic condition, DSA, SST
Subjects: Computer Science > Computer Science
Computer Science > Information Systems
Computer Science > Telecommunications
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai, India > Computer Science and Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 06 Feb 2026 06:50
URI: https://ir.vmrfdu.edu.in/id/eprint/5985

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