DocumentCode
2291281
Title
A multi-priority supported p-persistent MAC protocol for Vehicular Ad Hoc Networks
Author
Caixing Shao ; Supeng Leng ; Yan Zhang ; Huirong Fu
Author_Institution
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2012
fDate
1-4 April 2012
Firstpage
2532
Lastpage
2537
Abstract
Vehicular Ad Hoc Networks (VANETs) and their diverse applications experience growing interest in both academic and industry. Different types of traffic packets delivered through vehicle-to-vehicle and vehicle-to-infrastructure communications are intended to improve passenger safety and comfort. In this paper, we propose a multiple priority supported Medium Access Control (MAC) protocol for VANETs based on the time slotted p-persistent channel access mechanism. The protocol differentiates the services packets into multi-priority on the Control Channel (CCH). Theoretical analysis based on Markov model is presented to optimize the transmission probabilities of the packets with different priorities, as well as the adjustable intervals of the CCH and the Services Channels (SCHs). Both analytical results and simulation experiments show that the proposed MAC protocol is able to ensure the prioritized transmission of the safety packets and also achieve optimal system performance with respect to saturated throughput.
Keywords
Markov processes; access protocols; vehicular ad hoc networks; Markov model; medium access control protocol; multipriority supported p-persistent MAC protocol; passenger comfort; passenger safety; services channel; services packet; time slotted p-persistent channel access mechanism; vehicular ad hoc networks; Analytical models; Educational institutions; Markov processes; Media Access Protocol; Safety; Throughput; Vehicles; Vehicular ad hoc networks; markov modeling; medium access control; multi-priority; p-persistent;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location
Shanghai
ISSN
1525-3511
Print_ISBN
978-1-4673-0436-8
Type
conf
DOI
10.1109/WCNC.2012.6214225
Filename
6214225
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