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Meta-Heuristic Solution for Route Optimization in Underwater Wireless Sensor Networks for Marine Applications

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Title Meta-Heuristic Solution for Route Optimization in Underwater Wireless Sensor Networks for Marine Applications
 
Creator Raajini X, Mercilin
Rajesh, G
 
Subject Cluster head election
Energy efficient routing
Grey wolf optimization
Hybrid routing
Network lifetime
 
Description 405-413
This research presents a novel approach to routing protocols within Marine Underwater Sensor Networks (M-USN) by
integrating a Grey Wolf Optimization (GWO) strategy, designed to tackle the distinct challenges associated with subaquatic
communications. Driven by the imperative to establish energy-efficient pathways for data transmission that enhance
network longevity and conserve resources amidst the complex underwater milieu, the methodology draws inspiration from
the hierarchical structuring observed in grey wolf packs to refine routing processes. By accommodating the fluctuating
underwater dynamics, including changes in salinity levels, pressures, and visibility, the GWO-based method markedly
augments cluster head selection efficiency, leading to a significant reduction in energy expenditures and bolstered data
integrity. Comparative analysis through NS-2 simulator trials showcases the superior performance of the GWO protocol in
comparison with established counterparts such as the Energy Efficient Routing Protocol, Directional Flooding based
Routing, and the Hop-by-Hop Dynamic Addressing Based Routing, evidencing pronounced enhancements in the
sustainability and operational efficiency of Underwater Wireless Sensor Networks (UWSNs). The investigation illuminates
the feasibility of leveraging bio-inspired algorithms for the advancement of underwater communication systems, particularly
in enhancing the efficacy of data transfer in subsea environments, with direct applicability to deep-sea exploration,
conservation of marine life, and the guidance of unmanned subaquatic vehicles. The novelty of this work is attributed to its
application of biological optimization mechanisms to the realm of underwater sensor networks, proposing a pioneering
solution to the persistent obstacles faced in subsea data dissemination
 
Date 2024-04-09T11:22:41Z
2024-04-09T11:22:41Z
2024-04
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/63728
https://doi.org/10.56042/jsir.v83i4.2936
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.83(4) [April 2024]