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Updated: May 29, 2025

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

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

Published on: September 8, 2023

Enhancing network lifetime in WSNs through coot algorithm-based energy management model.

Namita Shinde¹, Dr Vinod H Patil¹

¹Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune-Satara Road, Pune, 411043.

|February 7, 2025

Summary

This study introduces an energy-efficient clustering and routing technique for Wireless Sensor Networks (WSN) using the Coot Optimization Algorithm (COA). The COA method significantly enhances network lifetime, reduces delay, and improves security and trust.

Keywords:

Cluster head selection Coot optimization and network lifecycle Energy efficient routing Enhancing Network Lifetime in WSNs through Coot Algorithm-Based Energy Management Model Swarm intelligence Wireless sensor network (WSN)

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Area of Science:

Computer Science
Network Engineering
Optimization Algorithms

Background:

Wireless Sensor Networks (WSN) face challenges including high energy consumption, communication delays, and security vulnerabilities.
Existing optimization algorithms often struggle to balance these competing network performance metrics effectively.

Purpose of the Study:

To propose a novel, energy-efficient clustering and routing technique for WSNs.
To address critical issues of energy consumption, communication delay, and security in WSNs.
To enhance overall network reliability and data integrity.

Main Methods:

Developed a clustering and routing technique utilizing the Coot Optimization Algorithm (COA).
Integrated an advanced fitness function evaluating cluster heads and routes based on residual energy, delay, security, trust, distance, and link quality.
Compared COA against other metaheuristic algorithms (BOA, GA, TSO, GWO, BSA) via simulations.

Main Results:

The proposed COA technique demonstrated superior performance compared to existing algorithms.
Achieved the lowest communication delay and the highest network lifetime (3571 rounds).
Showcased enhanced security (0.8) and trust (0.6) metrics with reduced energy consumption.

Conclusions:

The Coot Optimization Algorithm offers an innovative and effective solution for improving WSN performance.
The technique ensures even energy load distribution and maintains credible data flow.
COA is highly suitable for WSN performance enhancement, offering significant improvements in efficiency, reliability, and security.