Achieving global fairness at urban intersections using cooperative DSRC congestion control

Intersections are traffic hubs for urban road traffic as well as for Vehicular Ad-Hoc Networks (VANETs). Intersections are most valuable and communication has to be reliable there. Unfortunately Dedicated Short Range Communications (DSRC) congestion control mechanisms are optimized for local fairness and thus fail to guarantee the Quality of Service (QoS) at urban intersection. In fact, they lead to further deterioration of the QoS, because they suffer from the emerging hidden station problem. We analyze the capability of these algorithms to ensure a fair allocation of the resources by applying cooperation. Our results show that cooperative VANETs achieve global fairness and are fable to significantly increase the communication performance at urban intersections. The in-depth investigation of the different algorithms reveals their drawbacks and benefits under these conditions. We discuss our findings focusing on the scalability, the exposed station, and the volatility problem and propose techniques to solve them.

[1]  Martin Mauve,et al.  Geographic routing in city scenarios , 2005, MOCO.

[2]  Pablo Pavón-Mariño,et al.  Distributed and Fair Beaconing Congestion Control Schemes for Vehicular Networks , 2014, ArXiv.

[3]  Antonella Molinaro,et al.  Vehicular ad hoc Networks , 2015 .

[4]  Pedro J. Fernández,et al.  Vehicular ad hoc Networks: Standards, Solutions and Research , 2015 .

[5]  William Stallings,et al.  Local and Metropolitan Area Networks , 1993 .

[6]  Charles E. Rohrs,et al.  LIMERIC: A Linear Adaptive Message Rate Algorithm for DSRC Congestion Control , 2013, IEEE Transactions on Vehicular Technology.

[7]  Paolo Santi,et al.  Fair sharing of bandwidth in VANETs , 2005, VANET '05.

[8]  Hugues Tchouankem,et al.  Measurement-based evaluation of interference in Vehicular Ad-Hoc Networks at urban intersections , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[9]  Torsten Lorenzen Performance Analysis of the Functional Interaction of Awareness Control and DCC in VANETs , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[10]  Thomas Kürner,et al.  Vehicle-to-Vehicle IEEE 802.11p performance measurements at urban intersections , 2012, 2012 IEEE International Conference on Communications (ICC).

[11]  Hannes Hartenstein,et al.  Design methodology and evaluation of rate adaptation based congestion control for Vehicle Safety Communications , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[12]  Raj Jain,et al.  Congestion Avoidance in Computer Net - works with a Connectionless Network Layer, Part I - Concept , 1987 .

[13]  Torsten Lorenzen Experimental Analysis of the Channel Busy Time in Vehicular Ad-Hoc Networks , 2016, 2016 25th International Conference on Computer Communication and Networks (ICCCN).

[14]  Hugues Tchouankem,et al.  Impact of buildings on vehicle-to-vehicle communication at urban intersections , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

[15]  Paolo Santi,et al.  Vehicle-to-Vehicle Communication: Fair Transmit Power Control for Safety-Critical Information , 2009, IEEE Transactions on Vehicular Technology.