Journal
IEEE TRANSACTIONS ON MOBILE COMPUTING
Volume 15, Issue 12, Pages 3028-3041Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TMC.2016.2531693
Keywords
Vehicular communications; beaconing congestion control; rate control; fairness; network utility maximization
Funding
- MINECO/FEDER project (COINS) [TEC2013-47016-C2-2-R]
- Spanish project (ONOFRE) [TEC2014- 53071-C3-1-P]
- Spanish project (ElasticNetworks) [TEC2015-71932-REDT]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available