CoP4V : Context-Based Protocol for Vehicle's Safety in Highways Using Wireless Sensor Networks
Safety is evergreen vital criteria for road traffic. We propose an infrastructureless solution based on contexts to increase safety of vehicle. Contexts characterize and track the moving environment of a vehicle. Here, environment means the vehiclepsilas own status like geographical position, break-controlpsilas functional status, driverpsilas status etc., and the status of neighboring vehicles. Contexts make use of wireless sensors for getting the environmental data. Sensors feed their data continuously to contexts. Contexts keep them as system understandable information. The status of a vehicle is continuously broadcasted to other vehicles. Safety-decisions are derived based on contexts that are available in a vehicle. We have also provided an algorithm for our context-based solution. Finally, safety calculations are given for overtaking decisions through some linear equations.
Contexts, Wireless Sensor Networks, Vehicle Safety, VANET