Building Energy Model for Citypulse Smart City Traffic using Trees.M5P

Abstract

The main objective of WSN is to increase network lifetime. Energy models are required to achieve this objective[1]. These models reduces no of sensors in any physical condition and achieve higher accuracy. In this paper, we present regression model to identify a relationship between a target variable and attributes in the dataset. We also present statistical[2] relations between target variable and observed variable. Simulation results show that trees M5P builds energy model and classifies the dataset with the Average measured time, Average speed and vehicle count to extend the network lifetime .