A Predictive Model to Reduce Energy Consumption in Object Tracking Sensor Network Applications

This work regards the dissertation I designed and developed at the end of my Master's Degree in Computer Engineering. It refers to a particular Machine Learning algorithm applied to Object Tracking Sensor Network. All of this work aims to solve the most critical problem of a Wireless Sensor Network which is its energy consumption. A novel approach with the use of Machine Learning is introduced to address the aforementioned issue.

Date: June 2018 -> August 2018

Technologies Used: Python3 | Scikit-Learn | Linux OS

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