A study on enabling Deep Learning in IoT for Disaster Management

Abstract

With increasing population there is equally higher risk of laosing precious life due to natural calamities like Earthquakes, Floods, landslides etc. every year. We can minimize this risk by sensing the changes in advance and providing advance information with the help of exploding technologies. Internet of Things (IoT) is one such promising technology which has gained attention of researchers due to seamless connectivity between people and object. IoT represents a system where sensors are attached to objects via internet and thus provides real time data monitoring. The sensed data coming from IoT systems are not streamed properly. These data can be analyzed effectively by another promising technology called Deep Learning (DL) that can predict the likely possibility of a disaster threat. With the available information sensed using IoT devices incorporated withDeep Learning(DL) technique, we can predict the occurrence of a disaster looming in and thus minimizing the risk of losing life.