Road Accident Monitoring System and Dynamic Insurance Pricing Using Fog Computing

The emergence of Cloud Computing and the exponential evolution of the Internet of Things (IoT) have thrown up new key challenges like - Latency, Security, and Performance. Fog computing provides a solution at addressing these issues. The architecture of Fog computing is such that it helps bring the computational power of Clouds at nodes situated much closer to the IoT device, helping to improve the overall Quality of Service parameters. The quick latency, response time, bandwidth constraints and improved resolutions of privacy and security concerns have led Fog computing to find its way into Health care monitoring systems. Another application of Fog computing can be found in traffic accident emergency systems, where every second of response time lost can be the difference between life and death, the quick repose time of fog nodes comes into play. This paper aims at proposing a monitoring system installed in cars that will aid law enforcement agencies and health care facilities respond quicker to emergencies leveraging the improved latency of Fog nodes and also a cloud computing system for using the data gathered from individual cars and drivers to determine the insurance rate of the car.