Machine Learning-Based Energy-Saving Framework for Environmental States-Adaptive Wireless Sensor Network

In this paper, we propose an energy-saving framework for Wireless Sensor Networks (WSN) using machine learning techniques and meta-heuristics according to environmental states. Unlike conventional topology-based energy-saving methods, we focus on the energy savings of the sensor node in the WSN itse...

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Bibliographic Details
Main Authors: Jaewoong Kang, Jongmo Kim, Minhwan Kim, Mye Sohn
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9060934/