Analysis of Information Dissemination in Vehicular Ad-Hoc Networks With Application to Cooperative Vehicle Safety Systems

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

doi:10.1109/tvt.2010.2085022

Cited by 201 publications

(161 citation statements)

References 22 publications

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“…The European Telecommunications Standards Institute defines a reactive state-based approach of decentralized congestion control that also adjusts the transmission frequency as a function of CBP (Rostami et al 2016). Fallah et al (2011) defined theinformation dissemination rate (similar to channel throughput) by controlling transmission power based on CBP. 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.…”

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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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%

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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“…In addition, epidemic dissemination models typically build on strong assumptions on, e.g., deterministic [28] and exponential [29], [30] inter-vehicle spacing distributions, or on independently distributed speeds of vehicles [31], [32]. As already discussed, our study is instead based on realistic road traffic datasets.…”

Section: Related Workmentioning

confidence: 99%

Worm Epidemics in Vehicular Networks

Trullols‐Cruces

Fiore

Barceló-Ordinas

2015

IEEE Trans. on Mobile Comput.

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Abstract-Connected vehicles promise to enable a wide range of new automotive services that will improve road safety, ease traffic management, and make the overall travel experience more enjoyable. However, they also open significant new surfaces for attacks on the electronics that control most of modern vehicle operations. In particular, the emergence of vehicle-to-vehicle (V2V) communication risks to lay fertile ground for self-propagating mobile malware that targets automobile environments. In this work, we perform a first study on the the dynamics of vehicular malware epidemics in a large-scale road network, and unveil how a reasonably fast worm can easily infect thousands of vehicles in minutes. We determine how such dynamics are affected by a number of parameters, including the diffusion of the vulnerability, the penetration ratio and range of the V2V communication technology, or the worm selfpropagation mechanism. We also propose a simple yet very effective numerical model of the worm spreading process, and prove it to be able to mimic the results of computationally expensive network simulations. Finally, we leverage the model to characterize the dangerousness of the geographical location where the worm is first injected, as well as for efficient containment of the epidemics through the cellular network.Index Terms-Vehicular networks, V2V, mobile malware.

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“…This immediately enables driving safety applications, that is, cooperative collision avoidance, by detecting potentially dangerous situations and making warning messages available beyond the driver's horizon of awareness. Recent researches have shown that road safety can be improved significantly using a V2V communication based cooperative vehicle safety (CVS) system [2].…”

Section: Introductionmentioning

confidence: 99%

Position Prediction Based Frequency Control of Beacons in Vehicular Ad Hoc Networks

Liu

Wang

2015

International Journal of Distributed Sensor Networks

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In VANETs, frequent beacon broadcasting can lead to high bandwidth consumption and channel congestion. In this paper, a position prediction based beacon approach is proposed to reduce beacon frequency and decrease bandwidth consumption. Vehicles track their neighbors using the predicted position instead of using periodic beacon broadcasting. Only when the prediction error is higher than a predefined tolerance will a beacon broadcasting be triggered. For improving the prediction accuracy, we classify the motion of vehicles into two typical patterns: a constant speed pattern and a maneuvering pattern. A maneuver detection module is responsible for recognizing current motion patterns, and a variable dimension filter that can switch dynamically between the two patterns is employed to generate high accurate position prediction. The simulation results show the proposed scheme can reduce significantly the number of beacons than three existing beacon approaches.

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Analysis of Information Dissemination in Vehicular Ad-Hoc Networks With Application to Cooperative Vehicle Safety Systems

Cited by 201 publications

References 22 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

Worm Epidemics in Vehicular Networks

Position Prediction Based Frequency Control of Beacons in Vehicular Ad Hoc Networks

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