Machine Learning Techniques for Energy Efficiency and Anomaly Detection in Hybrid Wireless Sensor Networks

Machine Learning Techniques for Energy Efficiency and Anomaly Detection in Hybrid Wireless Sensor Networks

Wireless sensor networks (WSNs) are among the most popular wireless technologies for sensor communication purposes nowadays. Usually, WSNs are developed for specific applications, either monitoring purposes or tracking purposes, for indoor or outdoor environments, where limited battery power is a ma...

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Bibliographic Details
Main Authors: Mohit Mittal, Rocío Pérez de Prado, Yukiko Kawai, Shinsuke Nakajima, José E. Muñoz-Expósito
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
LEACH protocol
EESR protocol
neural networks
support vector machine
energy efficiency
end-to-end delay
Online Access:https://www.mdpi.com/1996-1073/14/11/3125

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https://www.mdpi.com/1996-1073/14/11/3125

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