Analytical Study of the IEEE 802.11p MAC Sublayer in Vehicular Networks

This paper proposes an analytical model for the throughput of the enhanced distributed channel access (EDCA) mechanism in the IEEE 802.11p medium-access control (MAC) sublayer. Features in EDCA such as different contention windows (CW) and arbitration interframe space (AIFS) for each access category...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2012-06, Vol.13 (2), p.873-886
Main Authors: Chong Han, Dianati, M., Tafazolli, R., Kernchen, R., Xuemin Shen
Format: Article
Language:English
Subjects:
Access control
Accuracy
Analytical models
Categories
Channels
Computational modeling
Flight simulators
IEEE 802.11e Standard
IEEE 802.11p
Markov processes
Mathematical analysis
Networks
performance analysis
Simulation
Studies
Three dimensional
Throughput
Traffic engineering
Traffic flow
vehicular ad-hoc networks (VANETs)
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Summary:This paper proposes an analytical model for the throughput of the enhanced distributed channel access (EDCA) mechanism in the IEEE 802.11p medium-access control (MAC) sublayer. Features in EDCA such as different contention windows (CW) and arbitration interframe space (AIFS) for each access category (AC) and internal collisions are taken into account. The analytical model is suitable for both basic access and the request-to-send/clear-to-send (RTS/CTS) access mode. Different from most of existing 3-D or 4-D Markov-chain-based analytical models for IEEE 802.11e EDCA, without computation complexity, the proposed analytical model is explicitly solvable and applies to four access categories of traffic in the IEEE 802.11p. The proposed model can be used for large-scale network analysis and validation of network simulators under saturated traffic conditions. Simulation results are given to demonstrate the accuracy of the analytical model. In addition, we investigate service differentiation capabilities of the IEEE 802.11p MAC sublayer.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2012.2183366