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
Full text not available from this repository.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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