Fire Detection Using Support Vector Machine in Wireless Sensor Network and Rescue Using Pervasive Devices

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Executive Summary

In the recent days, environment is polluted day by day due to various factors. One of the causes is smokes during the massive fires. Using Wireless Sensor Networks (WSN) fire can be detected earlier and also initiate the rescue operation before it becomes fire. In this paper, the authors will examine the possibility Support Vector Machine (SVM) for detecting the Fire which has large data sets. It is achieved by using the sketch of classes distribution which is obtained by using Minimum Enclosing Ball(MEB). This approach has many distinctive advantages on dealing with large data sets particularly forest fire data sets.

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