About this document
Machine Learning in Wireless Sensor Networks by English Emre is a document available to read on EtoBox.
This document summarizes a survey of machine learning algorithms for wireless sensor networks from 2014 to 2018. It discusses how machine learning techniques can help wireless sensor networks adapt dynamically to changes without reprogramming. The document outlines several applications of machine learning for wireless sensor networks, including coverage optimization, energy harvesting prediction, localization, fault detection, and dynamic routing. It also discusses open issues and the statistical analysis o
- Author
- English Emre
- Language
- EN