A Study on Vehicle to Vehicle Collision Prevention Using Fog, Cloud, Big Data and Elliptic Curve Security Based on Threshold Energy Efficient Protocol in Wireless Sensor Network

Now a day's more number of vehicles are growing due topopulations are growing day by day. All type of vehicles like bus, car, two wheeler, plane, cycle making collision with othervehicles or with other objects like wall, trees, down position, curve position etc. Every year almost 1.25 million people arekilled on the road due to vehicle accident. At present one of thebiggest problems in the world is vehicle accident. The vehicle tovehicle accident is very high compared than other type ofaccident. There are many research solutions already existing forpreventing collision then also accident not possible to control it. According to the vehicle to vehicle accident in this paper theproposed solution for controlling the vehicle to vehicle collisionprevention. Not only that the information about the vehicle likeGPS location, traffic information, vehicle information and driverinformation also send to fog computing and then stored in cloud. The cloud agent is stored incoming data into Hadoop database. The sensor will be attached to all type of vehicle in all side basedon the vehicle to vehicle distance will be measured throughsensor and the data will be transmit to the Fog Computing andthen send to cloud agent. After that the cloud agents store all theinformation to the Hadoop database. The cloud agent playingmajor role between mobile app and Hadoop database. The cloudagent analysis incoming data from the sensor and it will send themessage to driver mobile app. It is based on distance betweentwo vehicles the mobile app produce the alarm. After the alarmdriver can reduce the speed after that the vehicle will becontrolled by the driver. The security is also very important fordata and protection of data based on elliptic curve cryptographyencryption and decryption with shorter key and also the dataprocessing can be very fast. Through mobile app all driver, trafficpolice, transport in charge and pedestrian can get informationabout the all type of vehicle information from the database. Separate login is provided for all type of user.