Optimized Algorithm for Fire Detection over WSN using Micaz Motes

摘要

Environment degradation around the world has motivated many researchers to deal with an important yet endangering aspect of rural and forest fires. Most of the current developed technologies are based on detection of the fire rather than verifying it. Detecting the fire can be useful in many cases but it is still not efficiently implemented in real time systems. However, detecting fire systems can help many modern cities improve their smoke detection systems. Therefore, in this paper we introduce and implement a fire detecting algorithm built on measuring the temperature of a certain area and detecting the fire. We have also used a mathematical model called the "Acoustic ranging Technique" to detect the location and set the alarm in case of a fire. In our implementation we have used multiple MTS 300 sensor boards mounted on MICA2 motes,in order to sense the temperature of the fire with respect to the energy consumption. Hence, with use of the implemented algorithm, we can verify the size of the fire from temperature recorded and analyzed based on the color temperature. Finally, in this paper we could prove that the relation between the type of fire and its colors can be used in detecting the size of the fire efficiently.