Design and Testing of Automated Smoke Monitoring Sensors in Vehicles

Abstract

This article emphases an advanced method for controlling the pollution of vehicles through sensor integration process. All sensor nodes will be connected to a control centre and it will be monitored using Online Monitoring System (OMS) with the help of an Improved Smoke Detection Algorithm (ISDA). The purpose of using ISDA is to monitor the vehicles which are located in different areas under different temperatures where, the ISDA divides the regions into circles. The data obtained in OMS will be aggregated and it will be plotted in MATLAB for better understanding. To test the efficiency of the projected method three test cases which include control of energy, minimization of range and cot have been performed. It is observed that in all three cases ISDA proves to be more efficient in terms of energy consumption, cost and distance when compared with existing methods.