Internet of Things (IoT): Role of Machine Learning in Power Management and Optimization using Regression Analysis

This article discusses many aspects of internet of thing related to implementation of energy efficient devices in IoT based network. As everyone knows, implementations of smart automation is possible due to energy efficient devices of IoT network at different levels in data transmission. The purpose of this research is to predict the energy efficiency with the help of machine learning model. Therefore, for this we have implement linear regression method which is basically a supervised machine learning technique to predict and analyzed the different factors which affects the power consumption on a particular time in IoT network. In this article we have chosen a linear regression method to predict the cumulative power needed for any IoT device during data transmission. After careful observations we have found that using ML model is more suitable for predicting the total power requirement for any IoT device in the network rather than going for direct calculation. Apart from this ML model selection, power consumption issues in IoT devices while in use has been discussed systematically and the impact of using different ML techniques is also being discussed.