Abstract
In VANETs, frequent beacon broadcasting can lead to high bandwidth consumption and channel congestion. In this paper, a position prediction based beacon approach is proposed to reduce beacon frequency and decrease bandwidth consumption. Vehicles track their neighbors using the predicted position instead of using periodic beacon broadcasting. Only when the prediction error is higher than a predefined tolerance will a beacon broadcasting be triggered. For improving the prediction accuracy, we classify the motion of vehicles into two typical patterns: a constant speed pattern and a maneuvering pattern. A maneuver detection module is responsible for recognizing current motion patterns, and a variable dimension filter that can switch dynamically between the two patterns is employed to generate high accurate position prediction. The simulation results show the proposed scheme can reduce significantly the number of beacons than three existing beacon approaches.
Highlights
Vehicular ad hoc networks (VANETs) are receiving more and more attentions from academia and industry, since various kinds of applications can be provided for improvement of road safety and other potential benefits
VANETs generally consist of on-board unit (OBU), roadside unit (RSU), and central trusted authority (TA)
We propose a position prediction based beacon rate (PPBR) approach to alleviate high channel occupancy caused by frequent beacon broadcasting
Summary
Vehicular ad hoc networks (VANETs) are receiving more and more attentions from academia and industry, since various kinds of applications can be provided for improvement of road safety and other potential benefits. The periodic vehicle tracking messages (beacon messages) are broadcasted by each vehicle to inform its neighbors with its current state (position, velocity, heading, and other necessary measures). Receivers parse these messages, accurately track the position of the target vehicle, and predict potential collisions. We propose a position prediction based beacon rate (PPBR) approach to alleviate high channel occupancy caused by frequent beacon broadcasting. The probability that vehicles do not change their velocity and heading is as high as 84.9% and 40.8% over 1 s and 5 s time window, respectively This demonstrates that it is feasible to predict vehicular position within the several seconds in the highly dynamic vehicular mobility scenario.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call