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Distributed and Fair Beaconing Rate Adaptation for Congestion Control in Vehicular
Networks
Abstract
Cooperative inter-vehicular applications rely on the exchange of broadcast single-hop status
messages among vehicles, called beacons. The aggregated load on the wireless channel due to
periodic beacons can prevent the transmission of other types of messages, what is called channel
congestion due to beaconing activity. In this paper we approach the problem of controlling the
beaconing rate on each vehicle by modeling it as a Network Utility Maximization (NUM)
problem. This allows us to formally apply the notion of fairness of a beaconing rate allocation in
vehicular networks and to control the trade-off between efficiency and fairness. The NUM
methodology provides a rigorous framework to design a broad family of simple and
decentralized algorithms, with proved convergence guarantees to a fair allocation solution. In
this context, we focus exclusively in beaconing rate control and propose the Fair Adaptive
Beaconing Rate for Intervehicular Communications (FABRIC) algorithm, which uses a
particular scaled gradient projection algorithm to solve the dual of the NUM problem. The
desired fairness notion in the allocation can be established with an algorithm parameter.
Simulation results validate our approach and show that FABRIC converges to fair rate
allocations in multi-hop and dynamic scenarios.
System Specification
System Requirements:
Hardware Requirements:

2. IEEE PROJECTS DEVELOPMENTS
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• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• Ram : 512 Mb.
Software Requirements:
• Operating system : - Windows 7. 32 bit
• Coding Language : C#.net 4.0
• Data Base : SQL Server 2008