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Analysis and design of effective and low-overhead transmission power control for VANETs

Published: 15 September 2008 Publication History

Abstract

The control of vehicles' radio communication behavior to deal with the constrained available wireless bandwidth has been identified as a key challenge in VANETs. As an element of congestion control, this paper addresses distributed transmission power control as a means to control the impact of periodic transmissions (`beacons') on the overall channel load. By also considering recently discussed fairness issues, we first examine the trade-off between the effectiveness of controlling the channel load on the one hand and the corresponding costs in terms of the required packet overhead on the other hand. We provide insights to the underlying estimation problems and present a sensitivity analysis with respect to non-homogeneous vehicular traffic densities and non-perfect channel conditions. Second, based on the analysis, we propose a segment-based power adjustment approach based on a distributed vehicle density estimation. The approach put forward in this paper reduces overhead by two orders of magnitude compared to previous approaches while still being effective in controlling the channel load.

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Cited By

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  • (2023)A Reinforcement Learning-Based Congestion Control Approach for V2V Communication in VANETApplied Sciences10.3390/app1306364013:6(3640)Online publication date: 13-Mar-2023
  • (2022)Theoretical Broadcast Rate Optimization for V2V Communications at IntersectionIEEE Transactions on Mobile Computing10.1109/TMC.2021.305195621:9(3360-3372)Online publication date: 1-Sep-2022
  • (2022)A Survey of Congestion Control in Vehicular Ad-Hoc Networks(VANET)2022 Iraqi International Conference on Communication and Information Technologies (IICCIT)10.1109/IICCIT55816.2022.10010504(20-25)Online publication date: 7-Sep-2022
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cover image ACM Conferences
VANET '08: Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
September 2008
96 pages
ISBN:9781605581910
DOI:10.1145/1410043
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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Publication History

Published: 15 September 2008

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Author Tags

  1. analysis
  2. congestion control
  3. transmission power control
  4. vanets
  5. wireless vehicular communication

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Overall Acceptance Rate 26 of 64 submissions, 41%

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Cited By

View all
  • (2023)A Reinforcement Learning-Based Congestion Control Approach for V2V Communication in VANETApplied Sciences10.3390/app1306364013:6(3640)Online publication date: 13-Mar-2023
  • (2022)Theoretical Broadcast Rate Optimization for V2V Communications at IntersectionIEEE Transactions on Mobile Computing10.1109/TMC.2021.305195621:9(3360-3372)Online publication date: 1-Sep-2022
  • (2022)A Survey of Congestion Control in Vehicular Ad-Hoc Networks(VANET)2022 Iraqi International Conference on Communication and Information Technologies (IICCIT)10.1109/IICCIT55816.2022.10010504(20-25)Online publication date: 7-Sep-2022
  • (2021)Balancing Awareness and Congestion in Vehicular Networks Using Variable Transmission PowerElectronics10.3390/electronics1016190210:16(1902)Online publication date: 8-Aug-2021
  • (2021)Distributed and Adaptive Reservation MAC Protocol for Beaconing in Vehicular NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2020.299204520:10(2936-2948)Online publication date: 1-Oct-2021
  • (2021)Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected VehiclesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.296658622:2(1248-1263)Online publication date: Feb-2021
  • (2020)A Survey on Controlling the Congestion in Vehicleto-Vehicle Communication2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)10.1109/ICRITO48877.2020.9197884(573-578)Online publication date: Jun-2020
  • (2020)Research on Adaptive Beacon Transmitting Power Based on Vehicle Forecast ErrorMachine Learning for Cyber Security10.1007/978-3-030-62460-6_8(79-86)Online publication date: 11-Nov-2020
  • (2019)Congestion Control in V2V Safety Communication: Problem, Analysis, ApproachesElectronics10.3390/electronics80505408:5(540)Online publication date: 13-May-2019
  • (2019)Theoretical Performance Analysis of Vehicular Broadcast Communications at Intersection and Their Optimization2019 31st International Teletraffic Congress (ITC 31)10.1109/ITC31.2019.00014(37-45)Online publication date: Aug-2019
  • Show More Cited By

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