Optimal Wireless Sensor Networks Allocation for Wooded Areas Using Quantum-Behaved Swarm Optimization Algorithms

Optimal Wireless Sensor Networks Allocation for Wooded Areas Using Quantum-Behaved Swarm Optimization Algorithms

This paper aims to present a robust algorithm developed that aims to minimize the number of sensor nodes in a WSN using three quantum-behaved swarm optimization techniques based on Lorentz (QPSO-LR), Rosen–Morse (QPSO-RM), and Coulomb-like Square Root (QPSO-CS) potential fields. The algor...

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Bibliographic Details
Main Authors: Washington Velasquez, Freddy Jijon-Veliz, Manuel S. Alvarez-Alvarado
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Network design
particle swarm optimization
quantum-behaved algorithms
wireless sensor network
Online Access:https://ieeexplore.ieee.org/document/10041811/

Internet

https://ieeexplore.ieee.org/document/10041811/

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