Joint Beacon Power and Rate Control for Vehicular Ad Hoc Networks

In vehicle to vehicle communications, periodic broadcast of beacons allows awareness of vehicles in a cooperative manner. In this paper, a joint beacon rate and power control protocol based on game theory is presented to combat channel congestion that is used for transmission of beacons. The existence, uniqueness and stability of the Nash Equilibrium (NE) as the key concept of the game are proved mathematically. In order to find the equilibrium point in a distributed manner, an algorithm is devised and its stability and convergence has been validated in a simulation environment. This algorithm converges to the NE from any initial rate and power. The proposed protocol has per vehicle parameters where each vehicle can control its share of the bandwidth according to its dynamics or safety application requirements while the whole bandwidth usage is controlled. This paper reports on utilizing the rate and power control protocol and presents some early results obtained from a representative simulation environment for VANET.

[1]  Antonella Molinaro,et al.  An insight into Decentralized Congestion Control techniques for VANETs from ETSI TS 102 687 V1.1.1 , 2013, 2013 IFIP Wireless Days (WD).

[2]  Marco Gruteser,et al.  Stability Challenges and Enhancements for Vehicular Channel Congestion Control Approaches , 2016, IEEE Transactions on Intelligent Transportation Systems.

[3]  Arunita Jaekel,et al.  Congestion Control in V2V Safety Communication: Problem, Analysis, Approaches , 2019, Electronics.

[4]  D. M. Topkis Equilibrium Points in Nonzero-Sum n-Person Submodular Games , 1979 .

[5]  Hannes Hartenstein,et al.  Joint power/rate congestion control optimizing packet reception in vehicle safety communications , 2013, Vehicular Ad Hoc Networks.

[6]  Hannes Hartenstein,et al.  Design methodology and evaluation of rate adaptation based congestion control for Vehicle Safety Communications , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[7]  Christian Poellabauer,et al.  EMBARC: error model based adaptive rate control for vehicle-to-vehicle communications , 2013, VANET '13.

[8]  Onur Altintas,et al.  Adaptive beaconing for congestion and awareness control in vehicular networks , 2014, 2014 IEEE Vehicular Networking Conference (VNC).

[9]  Hyogon Kim,et al.  Resolving the Unfairness of Distributed Rate Control in the IEEE WAVE Safety Messaging , 2014, IEEE Transactions on Vehicular Technology.

[10]  Hariharan Krishnan,et al.  Stable and Fair Power Control in Vehicle Safety Networks , 2016, IEEE Transactions on Vehicular Technology.

[11]  Hamed S. Al-Raweshidy,et al.  Distributed Transmit Power Control for Beacons in VANET , 2017, VEHITS.

[12]  Nsw Roads and Maritime Services Intelligent Transport Systems (ITS) , 2016 .

[13]  Pablo Pavón-Mariño,et al.  Distributed and Fair Beaconing Rate Adaptation for Congestion Control in Vehicular Networks , 2016, IEEE Transactions on Mobile Computing.

[14]  Luca Delgrossi,et al.  Mathematical Modeling of Channel Load in Vehicle Safety Communications , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[15]  Hariharan Krishnan,et al.  Adaptive intervehicle communication control for cooperative safety systems , 2010, IEEE Network.

[16]  X. Vives Oligopoly Pricing: Old Ideas and New Tools , 1999 .

[17]  Hariharan Krishnan,et al.  Analysis of Information Dissemination in Vehicular Ad-Hoc Networks With Application to Cooperative Vehicle Safety Systems , 2011, IEEE Transactions on Vehicular Technology.

[18]  Intelligent Transport Systems (its); Cross Layer Dcc Management Entity for Operation in the Its G5a and Its G5b Medium , 2022 .

[19]  Charles E. Rohrs,et al.  LIMERIC: A Linear Adaptive Message Rate Algorithm for DSRC Congestion Control , 2013, IEEE Transactions on Vehicular Technology.

[20]  Yaser P. Fallah,et al.  Context and Network Aware Communication Strategies for Connected Vehicle Safety Applications , 2016, IEEE Intelligent Transportation Systems Magazine.

[21]  Hyogon Kim,et al.  Preventing Unfairness in the ETSI Distributed Congestion Control , 2014, IEEE Communications Letters.

[22]  Suzanne Sloan,et al.  Status of the dedicated short-range communications technology and applications : report to Congress. , 2015 .

[23]  Hamid Asgari,et al.  Non-Cooperative Beacon Power Control for VANETs , 2019, IEEE Transactions on Intelligent Transportation Systems.

[24]  John Murphy,et al.  Smart adaptation of beacons transmission rate and power for enhanced vehicular awareness in VANETs , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[25]  Javier Gozálvez,et al.  Application-Based Congestion Control Policy for the Communication Channel in VANETs , 2010, IEEE Communications Letters.