An IoT-based Novel Framework for Early Prediction of Forest Fire

Abstract

Forest fire is one of the concern issues for society in terms of a loss in natural resources & loss of wildlife. In recent years this problem has become more prominent because of global warming. In this paper, a comprehensive framework is proposed for the early detection and prediction of forest fire in real time environment by the use of edge computing (FOG) and Internet of things (IOT). Entire wireless sensor network (WSN) is designed by using sensor nodes which are designed by taking several environment parameters like humidity, temperature, infrared (IR) radiation and combustible gas. A sensor node is designed by taking ARDUINO 2560 as a processing element, LM35- temperature sensor, RHT-03 – Relative Humidity & Temperature sensor, MQ-02 smoke sensor & infrared sensor. A weather index is generated. Moreover this paper provides a conceptual depth to the technology that can be use for the early prediction of forest fire.