research-article

An Adaptive Power Level Control Algorithm for DSRC Congestion Control

Authors:

Arunita JaekelAuthors Info & Claims

DIVANet'18: Proceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications

Pages 57 - 62

https://doi.org/10.1145/3272036.3272041

Published: 25 October 2018 Publication History

Abstract

Vehicular industries and researchers have invested efforts to reduce avoidable accidents through the means of Vehicle to Vehicle (V2V) wireless communication using Vehicular Ad Hoc Networks (VANETs). Up-to-date information on the location, speed and other important parameters for each vehicle is shared with neighboring vehicles through the periodic exchange of Basic Safety Messages (BSMs). With a high vehicular density, network congestion can quickly arise in the 5.9GHz spectrum, rendering the system as unreliable because safety messages are not delivered and received on time. To alleviate this problem, there has been considerable research, in recent years, on distributed congestion control algorithms for VANETs. These approaches are generally based on rate control or power control of the transmitted packets. In this paper, we propose a novel, adaptive power control algorithm to reduce packet congestion in VANETs. Instead of requiring all vehicles to use the same power level, our approach allows each vehicle to dynamically adjust the transmit power of BSM packets, depending on its current speed. The goal is to prioritize which other vehicles will receive BSM packets from a given vehicle. Our simulation results demonstrate the advantages of the proposed algorithm regarding commonly used metrics such as packet loss, Beacon Error Rates(BER), Channel Busy Time(CBT) and Inter-Packet Delay(IPD).

References

[1]

Roberto Baldessari, Damiano Scanferla, Long Le, Wenhui Zhang, and Andreas Festag. 2010. Joining forces for vanets: A combined transmit power and rate control algorithm. 6th international workshop on intelligent transportation (WIT) (2010).

[2]

Gaurav Bansal, Hongsheng Lu, John B Kenney, and Christian Poellabauer. 2013. EMBARC: Error model based adaptive rate control for vehicle-to-vehicle communications. Proceeding of the tenth ACM international workshop on Vehicular inter-networking, systems, and applications (2013).

Digital Library

[3]

Michael Behrisch, Laura Bieker, Jakob Erdmann, and Daniel Krajzewicz. 2011. SUMO - Simulation of Urban MObility: An overview. In in SIMUL 2011, The Third International Conference on Advances in System Simulation. 63--68.

[4]

Claudia Campolo, Antonella Molinard, and Riccardo Scopigno. 2015. . springer.

[5]

G Eason. 2010. IEEE, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. (2010).

[6]

Egea-Lopez, Esteban and Pavon-Marino, Pablo. 2016. Distributed and fair beaconing rate adaptation for congestion control in vehicular networks. IEEE Transactions on Mobile Computing 15 (2016).

Digital Library

[7]

P. Fernandes and U. Nunes. 2007. Vehicle communications: A short survey. IADIS Telecommunications, Networks and Systems (2007).

[8]

Forough Goudarzi and Hamed Al-raweshidy. 2017. Distributed Transmit Power Control for Beacons in VANET. 3rd International Conference on Vehicle Technology and Intelligent Transport Systems (04 2017), 181--187.

[9]

Xu Guan, Raja Sengupta, Hariharan Krishnan, and Fan Bai. 2007. A feedbackbased power control algorithm design for VANET. 2007 Mobile Networking for Vehicular Environments (2007).

[10]

Ching-Ling Huang, Yaser Fallah, Raja Sengupta, and Hariharan Krishnan. 2011. Intervehicle transmission rate control for cooperative active safety system. IEEE Transactions on Intelligent Transportation Systems 12 (2011).

Digital Library

[11]

J. B. Kenney. 2011. Dedicated Short-Range Communications (DSRC) Standards in the United States. Proc. IEEE 99, 7 (July 2011), 1162--1182.

[12]

John B Kenney, Gaurav Bansal, and Charles E Rohrs. 2011. LIMERIC: a linear message rate control algorithm for vehicular DSRC systems. Proceedings of the Eighth ACM international workshop on Vehicular inter-networking (2011).

Digital Library

[13]

Chonlatee Khorakhun, Holger Busche, and Hermann Rohling. 2008. Congestion control for VANETs based on power or rate adaptation. Proceedings of the 5th international workshop on intelligent transportation (WIT) (2008).

[14]

Bernhard Kloiber, Jérôme Härri, Thomas Strang, Stephan Sand, and Cristina Garcia. 2016. Random transmit power control for DSRC and its application to cooperative safety. 13 (2016).

Digital Library

[15]

Timo Kosch, Christian J Adler, Stephan Eichler, Christoph Schroth, and Markus Strassberger. 2006. The scalability problem of vehicular ad hoc networks and how to solve it. IEEE Wireless Communications 13 (2006).

Digital Library

[16]

Torrent-Moreno, Marc, Jens Mittag, Paolo Santi, and Hannes Hartenstein. 2009. Vehicle-to-vehicle communication: fair transmit power control for safety-critical information. IEEE Transactions on Vehicular Technology 58 (2009).

[17]

Chetan Math, Hong Li, Sonia de Groot, and Ignas Niemegeers. 2017. Fair decentralized data-rate congestion control for V2V communications. 24th International Conference on Telecommunications (ICT) (2017).

[18]

Mattia Minelli and Samir Tohmé. 2016. The potential of transmit data rate control for channel congestion mitigation in VANET. International Wireless Communications and Mobile Computing Conference (IWCMC) (2016).

[19]

Sulata Mitra and Atanu Mondal. 2014. Joint Congestion Control Strategy During V2V Communication Among Authentic Vehicles in VANET. Wireless Personal Communications 79, 1 (2014), 43--67.

Digital Library

[20]

Jens Mittag, Schmidt-Eisenlohr, Felix, Moritz Killat, Jérôme Härri, and Hannes Hartenstein. 2008. Analysis and design of effective and low-overhead transmission power control for VANETs. Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking (2008).

Digital Library

[21]

Marco Ruffini and H-J Reumerman. 2005. Power-rate adaptation in high-mobility distributed ad-hoc wireless networks. IEEE 61st Vehicular Technology Conference 4 (2005).

[22]

Miguel Sepulcre, Jens Mittag, Paolo Santi, Hannes Hartenstein, and Javier Gozalvez. 2011. Congestion and awareness control in cooperative vehicular systems. Proc. IEEE 99 (2011).

[23]

Christoph Sommer, Reinhard German, and Falko Dressler. 2011. Bidirectionally coupled network and road traffic simulation for improved IVC analysis. IEEE Transactions on Mobile Computing 10 (2011).

Digital Library

[24]

Sundar Subramanian, Marc Werner, Shihuan Liu, Jubin Jose, Radu Lupoaie, and Xinzhou Wu. 2012. Congestion control for vehicular safety: synchronous and asynchronous MAC algorithms. Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications (2012).

Digital Library

[25]

Tessa Tielert, Daniel Jiang, Qi Chen, Luca Delgrossi, and Hannes Hartenstein. 2011. Design methodology and evaluation of rate adaptation based congestion control for vehicle safety communications. (2011).

[26]

Tessa Tielert, Daniel Jiang, Hannes Hartenstein, and Luca Delgrossi. 2013. Joint power/rate congestion control optimizing packet reception in vehicle safety communications. (2013).

[27]

András Varga and Rudolf Hornig. 2008. An overview of the OMNeT++ simulation environment. Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems &workshops (2008).

Digital Library

[28]

Aaron Weinfield, John B Kenney, and Gaurav Bansal. 2011. An Adaptive DSRC Message Transmission Rate Control Algorithm. 18th ITS World CongressTransCoreITS AmericaERTICO-ITS EuropeITS Asia-Pacific (2011).

[29]

Jordan T Willis, Arunita Jaekel, and Ikjot Saini. 2017. Decentralized congestion control algorithm for vehicular networks using oscillating transmission power. Wireless Telecommunications Symposium (WTS) (2017).

Cited By

Kiruthiga RNithya B(2024)Dynamic Retransmission Count Prediction (DRCP) Algorithm for FANET Using Machine Learning TechniquesAdvances in Data-Driven Computing and Intelligent Systems10.1007/978-981-99-9524-0_36(473-486)Online publication date: 26-Feb-2024
https://doi.org/10.1007/978-981-99-9524-0_36
Falahatraftar FPierre SChamberland S(2021)A Conditional Generative Adversarial Network Based Approach for Network Slicing in Heterogeneous Vehicular NetworksTelecom10.3390/telecom20100092:1(141-154)Online publication date: 18-Mar-2021
https://doi.org/10.3390/telecom2010009
Bhatia TRamachandran RDoss RPan L(2021)Detecting and Controlling the Occurrence of Data Congestion in a High-density VANETs Environment2021 29th Conference of Open Innovations Association (FRUCT)10.23919/FRUCT52173.2021.9435487(42-48)Online publication date: 12-May-2021
https://doi.org/10.23919/FRUCT52173.2021.9435487
Show More Cited By

Index Terms

An Adaptive Power Level Control Algorithm for DSRC Congestion Control
1. Networks
  1. Network protocols
    1. Network protocol design

Recommendations

Fuzzy Logic Ticket Rate Predictor for Congestion Control in Vehicular Networks

Cooperative vehicular systems are currently being investigated to design innovative intelligent transportation systems (ITS) solutions for road traffic management and safety. This paper proposes a preventive congestion control mechanism applied at ...
MAC layer congestion control techniques in vehicular ad hoc network: survey and qualitative analysis

Vehicular ad hoc network (VANET) has become a promising area in the research community because of its various applications in road safety, mobile infotainment, and traffic management. Each vehicle can exchange information regarding the current status of ...
Adaptive congestion control for DSRC vehicle networks

Dedicated short range communications (DSRC) was proposed for collaborative safety applications (CSA) in vehicle communications. In this article we propose two adaptive congestion control schemes for DSRC-based CSA. A cross-layer design approach is used ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

DIVANet'18: Proceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications

October 2018

93 pages

ISBN:9781450359641

DOI:10.1145/3272036

General Chair:
Mirela M. A. Notare
Faculdade de Tecnologia em Transporte Aereo, Brazil
,
Program Chairs:
Peng Sun
University of Ottawa, Canada
,
Rodolfo W. L. Coutinho
University of Ottawa, Canada

Copyright © 2018 ACM.

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]

Sponsors

SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MSWIM '18

Sponsor:

SIGSIM

MSWIM '18: 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems

October 28 - November 2, 2018

QC, Montreal, Canada

Acceptance Rates

Overall Acceptance Rate 70 of 308 submissions, 23%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

15
Total Citations
View Citations
180
Total Downloads

Downloads (Last 12 months)12
Downloads (Last 6 weeks)2

Reflects downloads up to 11 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Kiruthiga RNithya B(2024)Dynamic Retransmission Count Prediction (DRCP) Algorithm for FANET Using Machine Learning TechniquesAdvances in Data-Driven Computing and Intelligent Systems10.1007/978-981-99-9524-0_36(473-486)Online publication date: 26-Feb-2024
https://doi.org/10.1007/978-981-99-9524-0_36
Falahatraftar FPierre SChamberland S(2021)A Conditional Generative Adversarial Network Based Approach for Network Slicing in Heterogeneous Vehicular NetworksTelecom10.3390/telecom20100092:1(141-154)Online publication date: 18-Mar-2021
https://doi.org/10.3390/telecom2010009
Bhatia TRamachandran RDoss RPan L(2021)Detecting and Controlling the Occurrence of Data Congestion in a High-density VANETs Environment2021 29th Conference of Open Innovations Association (FRUCT)10.23919/FRUCT52173.2021.9435487(42-48)Online publication date: 12-May-2021
https://doi.org/10.23919/FRUCT52173.2021.9435487
Sewalkar PSeitz J(2021)MC-COCO4V2P: Multi-Channel Clustering-Based Congestion Control for Vehicle-to-Pedestrian CommunicationIEEE Transactions on Intelligent Vehicles10.1109/TIV.2020.30466946:3(523-532)Online publication date: Sep-2021
https://doi.org/10.1109/TIV.2020.3046694
Aznar-Poveda JGarcia-Sanchez AEgea-Lopez EGarcia-Haro J(2021)Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning ApproachIEEE Access10.1109/ACCESS.2021.31094229(122067-122081)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3109422
Falahatraftar FPierre SChamberland S(2021)A Centralized and Dynamic Network Congestion Classification Approach for Heterogeneous Vehicular NetworksIEEE Access10.1109/ACCESS.2021.31084259(122284-122298)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3108425
Aznar-Poveda JGarcia-Sanchez AEgea-Lopez EGarcia-Haro J(2021)MDPRP: A Q-Learning Approach for the Joint Control of Beaconing Rate and Transmission Power in VANETsIEEE Access10.1109/ACCESS.2021.30506259(10166-10178)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3050625
Chhabra RRama Krishna CVerma S(2021)Context-aware Hybrid Adaptive Beaconing for Driver Behavior Dissemination in VANETsIETE Journal of Research10.1080/03772063.2021.194132969:7(4113-4129)Online publication date: 28-Jun-2021
https://doi.org/10.1080/03772063.2021.1941329
Younes MBoukerche A(2020)Traffic Efficiency Applications over Downtown RoadsACM Computing Surveys10.1145/340395253:5(1-30)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3403952
Stepzinski MSengupta S(2020)Cybersecurity analysis in Dedicated Short-Range Communications in vehicular networks2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON51285.2020.9298044(0021-0027)Online publication date: 28-Oct-2020
https://doi.org/10.1109/UEMCON51285.2020.9298044
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents