DocumentCode :
265513
Title :
Performance modeling of the IEEE 802.11p EDCA mechanism for VANET
Author :
Qiong Wu ; Jun Zheng
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
57
Lastpage :
63
Abstract :
This paper develops an analytical model for analyzing the access performance of the IEEE 802.11p EDCA mechanism. A 2-D Markov chain is first constructed to describe the backoff procedure of an AC queue and establish a relationship between the transmission probability and collision probability of the AC queue. Then a 1-D infinite discrete-time Markov chain is constructed to describe the contention period of an AC queue and establish another relationship between the transmission probability and collision probability of the AC queue. The two Markov models take into account the saturation condition, standard parameters, backoff counter freezing, and internal collision. Based on the two Markov chains, an analytical model is further derived to describe the relationship between the parameters of an AC queue and the access performance of the AC queue in terms of the transmission probability and the collision probability, respectively. The effectiveness of the analytical model is verified through simulation results.
Keywords :
Markov processes; queueing theory; telecommunication congestion control; vehicular ad hoc networks; wireless LAN; 1D infinite discrete-time Markov chain; 2D Markov chain; AC queue; EDCA mechanism; IEEE 802.11p; VANET; access category queue; backoff procedure; collision probability; enhanced distributed channel access; transmission probability; Ad hoc networks; Analytical models; Educational institutions; Markov processes; Mathematical model; Radiation detectors; Standards; 802.11p; EDCA; VANET; performance modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7036784
Filename :
7036784
Link To Document :
بازگشت