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Title: An Adaptive Adjusting Approach for Vehicular Ad Hoc Network Based on IEEE 802.11p
Accession Number: 01506816
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Vehicle-to-Infrastructure (V2I) wireless communication plays a critical role in enabling vehicles to receive services provided by Cooperative Vehicle and Infrastructure System. In Vehicular Ad Hoc Network (VANET), these services become accessible through periodical broadcasts of WAVE (Wireless Access for Vehicular Environments) Service Advertisement (WSA) messages over the CCH (control channel) transmitted by roadside infrastructure. As suggested by the IEEE 1609.3 standard, repeating WSA more times per CCH interval could increase the probability of successful WSA reception. However, massive redundant information brought by this approach may lead to safety-critical CCH congestion and latency problems. To solve this problem, this paper proposes an approach--Adaptive Adjusting WSA Repetition Time (AART). First, the level of the current WSA-awareness and the current CCH status is determined through an algorithm. Then the time of WSA repetition has a corresponding numerical adjustment. Thus, AART helps to achieve a balance between the WSA reception rate and the CCH communication quality. Simulation results confirm that when the time of WSA repetition is adjusted through an on-demand and adaptive way, an efficient and robust WAVE advertisement procedure could be realized under various traffic situations.
Supplemental Notes: This paper was sponsored by TRB committee AHB15 Intelligent Transportation Systems.
Monograph Title: Monograph Accession #: 01503729
Report/Paper Numbers: 14-3469
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Xia, MengChen, XiaoboYao, DanyaPagination: 15p
Publication Date: 2014
Conference:
Transportation Research Board 93rd Annual Meeting
Location:
Washington DC Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Candidate Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control
Source Data: Transportation Research Board Annual Meeting 2014 Paper #14-3469
Files: TRIS, TRB, ATRI
Created Date: Jan 27 2014 3:11PM
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