A Comparative Analysis of Advanced Routing and Cluster Head Selection Algorithm Using Lagrange Interpolation

A Comparative Analysis of Advanced Routing and Cluster Head Selection Algorithm Using Lagrange Interpolation

This paper presents a unified performance metric for evaluating the chronological wild geese optimization (CWGO) algorithm in wireless sensor networks (WSNs). The metric combines key performance factors—energy consumption, delay, distance, and trust—into a single measure using Lagrange interpolation...

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Bibliographic Details
Main Authors: Zoren P. Mabunga, Jennifer C. Dela Cruz, Renato R. Maaliw
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Telecom
Subjects:
chronological concept
optimization
wild geese migration optimization
wireless communication technologies
wireless sensor network
WSN routing
Online Access:https://www.mdpi.com/2673-4001/5/4/62
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