Performance Enhancement of Multirate IEEE 802.11 WLANs with Geographically Scattered Stations
IEEE Transactions on Mobile Computing
A measurement study of vehicular internet access using in situ Wi-Fi networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Vehicular opportunistic communication under the microscope
Proceedings of the 5th international conference on Mobile systems, applications and services
A selective downlink scheduling algorithm to enhance quality of VOD services for WAVE networks
EURASIP Journal on Wireless Communications and Networking - Special issue on wireless access in vehicular environments
A capacity analysis framework for the IEEE 802.11e contention-based infrastructure basic service set
IEEE Transactions on Communications
A multi-channel token ring protocol for QoS provisioning in inter-vehicle communications
IEEE Transactions on Wireless Communications
Service Scheduling of Vehicle-Roadside Data Access
Mobile Networks and Applications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Control-based scheduling with QoS support for vehicle to infrastructure communications
IEEE Wireless Communications
Saturation throughput analysis of IEEE 802.11e enhanced distributed coordination function
IEEE Journal on Selected Areas in Communications
Performance analysis of IEEE 802.11e contention-based channel access
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Medium Access Control for QoS Provisioning in Vehicle-to-Infrastructure Communication Networks
Mobile Networks and Applications
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The emerging IEEE 802.11p standard adopts the enhanced distributed channel access (EDCA) mechanism as its Media Access Control (MAC) scheme to support quality-of-service (QoS) in the rapidly changing vehicular environment. While the IEEE 802.11 protocol family represents the dominant solutions for wireless local area networks, its QoS performance in terms of throughput and delay, in the highly mobile vehicular networks, is still unclear. To explore an in-depth understanding on this issue, in this paper, we develop a comprehensive analytical model that takes into account both the QoS features of EDCA and the vehicle mobility (velocity and moving directions). Based on the model, we analyze the throughput performance and mean transmission delay of differentiated service traffic, and seek solutions to optimally adjust the parameters of EDCA towards the controllable QoS provision to vehicles. Analytical and simulation results are given to demonstrate the accuracy of the proposed model for varying EDCA parameters and vehicle velocity and density.