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      Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach

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          Abstract

          The planet Earth is the most water-rich place because oceans cover more than 75% of its land area. Because of the extraordinary activities that occur in the depths, we know very little about oceans. Underwater wireless sensors are tools that can continuously transmit data to one of the source sensors while also monitoring and recording the physical and environmental parameters of their surroundings. An underwater wireless sensor network (UWSN) is the name given to the network created by the collection of these underwater wireless sensors. This particular technology is the most efficient way to analyse performance parameters. A network path is chosen to send traffic by using the routing method, a process that is also known as a protocol. The routing protocols ad-hoc on-demand distance vector (AODV), dynamic source routing (DSR), dynamic manet on demand routing protocol (DYMO), location-aided routing 1 (LAR 1), optimized link state routing (OLSR), source-tree adaptive routing optimum routing approach (STAR-ORA), zone routing protocol (ZRP), and STAR-least overhead routing approach (STAR-LORA) are a few models of routing techniques. By changing the number of nodes in the model and the maximum speed of each node, performance parameters such as average transmission delay, average jitter, percentage of utilisation, and power used in transmit and receive modes are explored. The results obtained using QualNet 7.1 simulator suggest the suitability of routing protocols in the UWSN.

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          Underwater acoustic networks

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            The challenges of building scalable mobile underwater wireless sensor networks for aquatic applications

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              Research challenges and applications for underwater sensor networking

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Journal of Computer Networks and Communications
                Journal of Computer Networks and Communications
                Hindawi Limited
                2090-715X
                2090-7141
                November 9 2022
                November 9 2022
                : 2022
                : 1-19
                Affiliations
                [1 ]Vellore Institute of Technology, Vellore, India
                [2 ]Data Science Research Lab, BlueCrest University, Monrovia, Liberia
                [3 ]School of Electrical and Electronics Engineering, SASTRA University, Thanjavur, India
                [4 ]School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg 2050, South Africa
                Article
                10.1155/2022/9418392
                186e0918-b4ca-44b4-b052-e1bce77e9902
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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