Adaptive intervehicle communication control for cooperative safety systems

Huang, Ching-Kuei; Fallah, Yaser P.; Sengupta, Raja; Krishnan, Hariharan

doi:10.1109/mnet.2010.5395777

Cited by 262 publications

(168 citation statements)

References 7 publications

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“…Huang et al (2010) proposed an algorithm that controls the transmission frequency and range based on estimated tracking errors and CBP. Bansal and Kenney (2013) defined an adaptive control algorithm, a weighted version of the linear message rate integrated control algorithm for the objective of maximizing channel throughput (messages/s).…”

Section: Related Workmentioning

confidence: 99%

“…Fallah et al (2016) further improved their transmission power control algorithm to be stateful utilization-based power adaptation (SUPRA) that controls radiated power incrementally as a function of CBP. After reviewing related studies of CCA, it is found that CCA essentially adopts the linear memoryless range control algorithm (Huang et al 2010) with the enhancement of considering traffic densities to control transmission frequencies. In addition, SUPRA is adopted to control radiated power.…”

Section: Related Workmentioning

confidence: 99%

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Development of potential methods for testing congestion control algorithm implemented in vehicle-to-vehicle communications

Hsu¹,

Fikentscher

Kreeb

2017

Traffic Injury Prevention

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Objective: A channel congestion problem might occur when the traffic density increases because the number of basic safety messages carried on the communication channel also increases in vehicle-to-vehicle communications. A remedy algorithm proposed in SAE J2945/1 is designed to address the channel congestion issue by decreasing transmission frequency and radiated power. This study is to develop potential test procedures for evaluating or validating the congestion control algorithm. Methods: Simulations of a reference unit transmitting at a higher frequency are implemented to emulate a number of onboard equipment (OBE) transmitting at the normal interval of 100 ms (10 Hz). When the transmitting interval is reduced to 1.25 ms (800 Hz), the reference unit emulates 80 vehicles transmitting at 10 Hz. By increasing the number of reference units transmitting at 800 Hz in the simulations, the corresponding channel busy percentages are obtained. An algorithm for Global Positioning System (GPS) data generation of virtual vehicles is developed for facilitating the validation of transmission intervals in the congestion control algorithm. Results: Channel busy percentage is the channel busy time over a specified period of time. Three or 4 reference units are needed to generate channel busy percentages between 50 and 80%, and 5 reference units can generate channel busy percentages above 80%. The proposed test procedures can verify the operation of congestion control algorithm when channel busy percentages are between 50 and 80% and above 80%. By using a GPS data generation algorithm, the test procedures can also verify the transmission intervals when traffic densities are 80 and 200 vehicles in a radius of 100 m. A suite of test tools with functional requirements is also proposed for facilitating the implementation of test procedures. Conclusions:The potential test procedures for a congestion control algorithm are developed based on the simulation results of channel busy percentage and the GPS data generation algorithm. The test tools can examine the requirement compliance automatically and objectively. The required number of reference units should be further validated using real OBEs before implementing these potential test procedures.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Development of potential methods for testing congestion control algorithm implemented in vehicle-to-vehicle communications

Hsu¹,

Fikentscher

Kreeb

2017

Traffic Injury Prevention

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“…Since most of active safety applications require optimal broadcast of beacon frame in order to maintain accurate positional information while avoiding control channel congestion, the authors in [47] To control beacon transmission rate, the communication control logic of each vehicle tracks the error e j (t) difference between immediate vehicles toward its own position. Each vehicle computes the transmission probability p j (t) at time step t from the value of tracking error.…”

Section: Hybrid Beaconing Approachesmentioning

confidence: 99%

Beaconing Approaches in Vehicular Ad Hoc Networks: A Survey

Ghafoor

Lloret

Bakar

et al. 2013

Wireless Pers Commun

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A Vehicular Ad hoc Network (VANET) is a type of wireless ad hoc network that facilitates ubiquitous connectivity between vehicles in the absence of fixed infrastructure. Beaconing approaches is an important research challenge in high mobility vehicular networks with enabling safety applications. In this article, we perform a survey and a comparative study of state-of-the-art adaptive beaconing approaches in VANET, that explores the main advantages and drawbacks behind their design. The survey part of the paper presents a review of existing adaptive beaconing approaches such as adaptive beacon transmission power, beacon rate adaptation, contention window size adjustment and Hybrid adaptation beaconing techniques. The comparative study of the paper compares the representatives of adaptive beaconing approaches in terms of their objective of study, summary of their study, the utilized simulator and the type of vehicular scenario. Finally, we discussed the open issues and research directions related to VANET adaptive beaconing approaches.

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“…Another hybrid congestion control approach was recently proposed in [23], where the authors adaptively change both beacon generation rate (in a proactive way) and transmission power (in a reactive way) with the goal of reducing channel congestion, and consequently improving a vehicle's ability to accurately track the position of surrounding vehicles. Two slightly different control approaches are applied to the tuning of beacon generation rate and transmission power.…”

Section: A Related Workmentioning

confidence: 99%

Congestion and Awareness Control in Cooperative Vehicular Systems

et al. 2011

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Abstract-Cooperative vehicular systems have been identified as a promising solution to overcome the current and future needs for increasing traffic safety and efficiency, while providing infotainment and added-value services on the move. To achieve their objectives, cooperative vehicular systems will be based on wireless communications between vehicles and with other infrastructure nodes, and will have to deal with highly dynamic nodes, challenging propagation conditions, and stringent application requirements. By looking at cooperative applications and their data traffic, as well as the current and foreseen spectrum allocations for cooperative vehicular systems, there is a risk that the corresponding radio channels could easily be saturated if no control algorithms are used. The saturation of the radio channels would result in unstable vehicular communications, and thus in an inefficient operation of cooperative systems. As a prime example of upcoming ubiquitous networks contributing to the vision of "a thousand radios per person", cooperative vehicular systems need to be designed to scale to high densities of radios without centralized coordination, while at the same time guaranteeing the requirements of the implemented applications and services, for example the stringent needs of active traffic safety applications. In this paper, we survey and classify various decentralized methods to control the load on the radio channels and to ensure each vehicle's capacity to detect and communicate with the relevant neighbouring vehicles, with a particular focus on approaches based on transmit power and rate control. Finally, we discuss the open research challenges that are imposed by different application requirements and potential existing contradictions.

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Adaptive intervehicle communication control for cooperative safety systems

Cited by 262 publications

References 7 publications

Development of potential methods for testing congestion control algorithm implemented in vehicle-to-vehicle communications

Development of potential methods for testing congestion control algorithm implemented in vehicle-to-vehicle communications

Beaconing Approaches in Vehicular Ad Hoc Networks: A Survey

Congestion and Awareness Control in Cooperative Vehicular Systems

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