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Beacon Rate Optimization for Vehicular Safety Applications in Highway Scenarios

Publication Type : Journal Article

Publisher : IEEE Transactions on Vehicular Technology

Source : IEEE Transactions on Vehicular Technology, Volume 67, Issue 1, p.524-536 (2018)

Keywords : Accidents, Analytical models, Automobiles, beacon messages, Beacon rate adaptation, beacon rate optimization, beacons, broadcasting safety, DSRC, message utility, optimal beacon rate, optimisation, Optimization, optimization problem, Performance analysis, Reliability, Road safety, Road transportation, Safety, Safety applications, safety messages, Short-range communication, strict network performance, V2V, Vehicle-to-vehicle communication, Vehicular ad hoc networks, vehicular safety applications

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2018

Abstract : Vehicle-to-vehicle (V2V) communication enables exchanging information between vehicles by broadcasting safety and beacon messages. Safety applications based on a so-called dedicated short-range communication, which are one of the main applications of V2V, require a very strict network performance for safety messages. In this paper, we investigate the effect of the beacon rate on the network performance of safety messages and develop an optimization problem to recommend optimal beacon rates based on a utility maximization framework. The message utility is constructed to account for the reliability requirements of safety messages and maintain the accuracy of neighborhood information collected by beacons. Specifically, we obtain the relationship between the optimal beacon rate and the system parameters. Our results show that the optimal beacon rates can meet the requirements of safety applications and improve the network performance up to 40%.

Cite this Research Publication : H. P. Luong, Manoj Kumar Panda, Hai Le Vu, and Vo, B. Q., “Beacon Rate Optimization for Vehicular Safety Applications in Highway Scenarios”, IEEE Transactions on Vehicular Technology, vol. 67, no. 1, pp. 524-536, 2018.

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