Wireless Sensor Networks and Fusion Information Methods for Forest Fire Detection

Abstract

Research in wireless sensor networks (WSNs) has experienced a significant growth in recent years. One topic of special interest is the use of WSNs in the detection of forest fires. In this paper, we propose two algorithms for forest fire detection. The proposed algorithms are based on information fusion techniques. The first algorithm uses a threshold method and nodes equipped with temperature, humidity and light sensors. The second algorithm uses the Dempster-Shafer theory and assumes that the nodes use temperature and humidity sensors. Evaluation results show that both methods are able to effciently detect fires in their initial stages.