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Related Experiment Video

Updated: Oct 5, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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Published on: September 8, 2023

706

An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks.

Neelakandan Subramani1, Prakash Mohan2, Youseef Alotaibi3

  • 1Department of Computer Science and Engineering, R.M.K Engineering College, Chennai 601206, India.

Sensors (Basel, Switzerland)
|January 22, 2022
PubMed
Summary

This study introduces MCR-UWSN, a novel energy-efficient routing protocol for underwater wireless sensor networks (UWSN). It uses metaheuristics for clustering and routing, significantly improving network performance and longevity.

Keywords:
clusteringenergy efficiencyfitness functionmetaheuristicsroutingunderwater wireless sensor network

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Area of Science:

  • Underwater Wireless Sensor Networks (UWSN)
  • Network Protocols
  • Optimization Algorithms

Background:

  • UWSNs are crucial for environmental monitoring and disaster management but face energy constraints.
  • Traditional routing protocols struggle with underwater challenges like low bandwidth and high error rates.
  • Energy efficiency is a primary challenge in UWSN due to difficulties in battery replacement.

Purpose of the Study:

  • To design an energy-efficient clustering and routing protocol for UWSN.
  • To address the limitations of existing protocols in underwater environments.
  • To enhance the operational lifespan of underwater wireless sensor networks.

Main Methods:

  • Developed MCR-UWSN, a metaheuristics-based clustering and routing protocol.
  • Utilized Cultural Emperor Penguin Optimizer-based Clustering (CEPOC) for cluster head selection.
  • Integrated Multi-Hop Routing with Grasshopper Optimization Algorithm (MHR-GOA) for efficient data transmission.

Main Results:

  • MCR-UWSN demonstrated superior performance compared to existing state-of-the-art techniques.
  • The protocol effectively addresses challenges like underwater currents and propagation delays.
  • Experimental validation confirmed enhanced energy efficiency and network longevity.

Conclusions:

  • MCR-UWSN offers a viable solution for energy-efficient routing in UWSN.
  • The proposed metaheuristic approach significantly improves network performance.
  • This work contributes to the advancement of underwater communication systems.