EEMLCR: Energy-Efficient Machine Learning-Based Clustering and Routing for Wireless Sensor Networks

EEMLCR: Energy-Efficient Machine Learning-Based Clustering and Routing for Wireless Sensor Networks

Wireless Sensor Networks (WSNs) offer a powerful technology for sensing and transmitting data across vast geographical regions. However, limitations inherent to WSNs, such as low-power sensor units, communication constraints, and limited processing capabilities, can significantly impact their lifesp...

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Bibliographic Details
Main Authors: Muhammad Akram, Sibghat Ullah Bazai, Muhammad Imran Ghafoor, Saira Akram, Qazi Mudassar Ilyas, Abid Mehmood, Sajid Iqbal, Muhammad Asim Rafique
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Clustering algorithms
energy efficiency
machine learning
multi-hop communication
routing protocols
wireless sensor networks
Online Access:https://ieeexplore.ieee.org/document/10969782/
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