research-article

Optimal data rate selection for vehicle safety communications

Authors:

Daniel Jiang,

Qi Chen,

Luca DelgrossiAuthors Info & Claims

VANET '08: Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking

Pages 30 - 38

https://doi.org/10.1145/1410043.1410050

Published: 15 September 2008 Publication History

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Abstract

This paper answers a simple but important question in VANET research: what is the optimal data rate to be used in DSRC-based vehicle safety communications? While it is generally accepted that the default choice is 6 Mbps, this assumption is not rooted in strong technical considerations. This paper provides a systematic evaluation of optimized data rates choices in a variety of scenarios. The answer found enables researchers to generally eliminate one dimension of complexity in relevant VANET studies. Additionally, the methodology used in this paper is possibly as interesting as the conclusion.

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D. Jiang and L. Delgrossi, "IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments," in Proc. of IEEE Vehicular Technology Conference (VTC) Spring 2008

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Cited By

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Lazar RPauca OMaxim ACaruntu C(2023)Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything CommunicationSensors10.3390/s2317757623:17(7576)Online publication date: 31-Aug-2023
https://doi.org/10.3390/s23177576
St. Amour BJaekel A(2023)Data Rate Selection Strategies for Periodic Transmission of Safety Messages in VANETElectronics10.3390/electronics1218379012:18(3790)Online publication date: 7-Sep-2023
https://doi.org/10.3390/electronics12183790
Liu XAmour BJaekel A(2023)A Reinforcement Learning-Based Congestion Control Approach for V2V Communication in VANETApplied Sciences10.3390/app1306364013:6(3640)Online publication date: 13-Mar-2023
https://doi.org/10.3390/app13063640
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Index Terms

Optimal data rate selection for vehicle safety communications
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

VANET '08: Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking

September 2008

96 pages

ISBN:9781605581910

DOI:10.1145/1410043

General Chairs:
Varsha Sadekar
General Motors
,
Paolo Santi
Italian National Research Council
,
Program Chairs:
Yih-Chun Hu
University of Illinois at Urbana-Champaign
,
Martin Mauve
Heinrich-Heine Universität Düsseldorf

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2008

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MobiCom08

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MobiCom08: Annual International Conference on Mobile Computing and Networking

September 15, 2008

California, San Francisco, USA

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Overall Acceptance Rate 26 of 64 submissions, 41%

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Lazar RPauca OMaxim ACaruntu C(2023)Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything CommunicationSensors10.3390/s2317757623:17(7576)Online publication date: 31-Aug-2023
https://doi.org/10.3390/s23177576
St. Amour BJaekel A(2023)Data Rate Selection Strategies for Periodic Transmission of Safety Messages in VANETElectronics10.3390/electronics1218379012:18(3790)Online publication date: 7-Sep-2023
https://doi.org/10.3390/electronics12183790
Liu XAmour BJaekel A(2023)A Reinforcement Learning-Based Congestion Control Approach for V2V Communication in VANETApplied Sciences10.3390/app1306364013:6(3640)Online publication date: 13-Mar-2023
https://doi.org/10.3390/app13063640
Lehocine CStröm EBrännström F(2023)Antenna Combiner for Periodic Broadcast V2V Communication Under Relaxed Worst-Case PropagationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.327158924:9(9817-9834)Online publication date: Sep-2023
https://doi.org/10.1109/TITS.2023.3271589
Dao VGirs SUhlemann E(2023)Outage Performance Comparison of Adaptive Relaying Schemes Subject to Jamming2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA54631.2023.10275372(1-8)Online publication date: 12-Sep-2023
https://doi.org/10.1109/ETFA54631.2023.10275372
Lazar RCaruntu C(2023)Evaluation of Channel Congestion for V2V Safety Communication in Multiplatooning Applications2023 International Symposium ELMAR10.1109/ELMAR59410.2023.10253895(133-136)Online publication date: 11-Sep-2023
https://doi.org/10.1109/ELMAR59410.2023.10253895
Nuthalapati GJaekel A(2023)Improving Channel Utilization in VANETs Using Q-Learning-Based Data Rate Congestion Control2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA59173.2023.10479289(1-7)Online publication date: 4-Dec-2023
https://doi.org/10.1109/AICCSA59173.2023.10479289
Tu BYin GZhong GJiang NZhang Y(2023)Research on LSTM Based Traffic Flow Prediction Adaptive Beacon Transmission Period and Power Joint ControlMachine Learning for Cyber Security10.1007/978-3-031-20102-8_19(242-250)Online publication date: 13-Jan-2023
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Karunathilake TFörster A(2022)A Survey on Mobile Road Side Units in VANETsVehicles10.3390/vehicles40200294:2(482-500)Online publication date: 20-May-2022
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Maaloul SAniss HMendiboure LBerbineau M(2022)Performance Analysis of Existing ITS Technologies: Evaluation and CoexistenceSensors10.3390/s2224957022:24(9570)Online publication date: 7-Dec-2022
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Adaptive congestion control for DSRC vehicle networks

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Adaptive congestion control for DSRC vehicle networks

Vehicle Safety Communications: Protocols, Security, and Privacy

Performance analysis of DSRC priority mechanism for road safety applications in vehicular networks

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