A rate-adaptive MAC protocol for multi-Hop wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
An integrated mobility and traffic model for vehicular wireless networks
Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks
Impact of radio propagation models in vehicular ad hoc networks simulations
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Robust rate adaptation for 802.11 wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
An experimental study on the capture effect in 802.11a networks
Proceedings of the second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
Adaptive intervehicle communication control for cooperative safety systems
IEEE Network: The Magazine of Global Internetworking
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Physical Carrier Sense in Vehicular Ad-Hoc Networks
MASS '11 Proceedings of the 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems
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Adding communication capabilities to vehicles and road infrastructure is commonly seen as the next step towards an intelligent transportation system. The IEEE 802.11p amendment, specially conceived for the Wireless Access in Vehicular Environments (WAVE) architecture, presents significant problems with regard to scalability and Decentralized Congestion Control (DCC). Despite several mechanisms already being proposed in this area, their performance and, more important, their functioning are far from being totally understood. In this paper we take a methodical approach, by describing the major loss reasons in a safety vehicular network, and we analyze the way different congestion control mechanisms modify the distribution of this losses. By clearly explaining how do the different solutions reach their goal, we open the door for future studies that would combine some of these approaches in a more efficient congestion control framework.