Fog Computing based Automated Accident Detection and Emergency Response System using Android Smartphone

Accident and emergencies are unpredictable. In case of accidents, human intervention causes time delay and it can result in many problems, even human life loss. In this regard, IoT offers a lot of benefits. The main purpose of IoT based disaster management system is to provide aid in an emergency system with minimum delay. Cloud computing plays a vital role in IoT. It provides storage, management, and processing of a large amount of data. As a large amount of data is processed on the cloud, the overall processing time increase due to transferring and processing delay. Here, Fog Computing comes into play as it provides processing at the edge of the network it provides many advantages such as reduced latency, mobility, geographical distribution, real-time interactions etc. the purpose of this paper is to exploit the advantages of fog computing to develop a fog-based accident detection and emergency response system, which employs Android device sensors to detect an accident emergency, accident location and create an action plan to handle the emergency timely. We evaluated our approach with the help of iFogSim which is an open source toolkit for simulating fog technologies along with IoT and cloud. The results achieved after simulation are promising and illustrate that fog provides superior results in comparison to the cloud.