Adaptive Beaconing for Collision Avoidance and Tracking Accuracy in Vehicular Networks

In vehicular networks, exchanging beacons among neighboring vehicles is a promising solution to guarantee vehicle safety. However, frequent beaconing under high vehicle density will cause collisions, which is harmful to safety and tracking accuracy. In this work, we propose an adaptive beaconing method for vehicle safety and tracking accuracy. Each vehicle broadcasts beacon interval requests, including the intervals needed for safety and for tracking accuracy. The road side unit allocates resources for vehicle's beaconing according to the requests from all vehicles. We formulate the resource allocation problem for maximizing the sum utility which measures the satisfaction of vehicles. We transform the optimization problem into a maximum weighted independent set problem, and propose an algorithm to solve it efficiently. Simulation results show that the proposed method outperforms the benchmark in terms of beacon reception ratio, safety guarantee, and tracking accuracy.