Impact of radio propagation models in vehicular ad hoc networks simulations

Dhoutaut, Dominique; Régis, Anthony; Spies, François

doi:10.1145/1161064.1161072

Cited by 75 publications

(35 citation statements)

References 5 publications

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“…By using real roadways and traffic rules and employing vehicular traffic dynamics models such as car-following [18], SUMO is capable of generating accurate vehicle positions, speeds, inter-vehicle distance, acceleration, overtaking and lane-changing maneuvers, etc. Previous work (e.g., [5], [12]) has shown that V2V channel characteristics are affected by the density of vehicular traffic. To that end, for each environment, we generated three traffic densities, qualitatively characterized as low, medium and high.…”

Section: A Mobility Modelingmentioning

confidence: 98%

“…Similarly, modeling time evolution of V2V links using Markov chains has been previously explored in literature. Dhoutaut et al [12] propose a shadowing-pattern model for V2V links that uses two-state Markov chains to determine the level of shadowing caused by other vehicles on an urban street [12]. Similarly, Abbas et al [7] use the same model to quantify the shadowing effect of obstructing vehicles on V2V links in car following scenario in highway and urban environments.…”

Section: Related Workmentioning

confidence: 99%

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Modeling the Evolution of Line-of-Sight Blockage for V2V Channels

Boban

Gong

2016

2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)

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Abstract-We investigate the evolution of line of sight (LOS) blockage over both time and space for vehicle-to-vehicle (V2V) channels. Using realistic vehicular mobility and building and foliage locations from maps, we first perform LOS blockage analysis to extract LOS probabilities in real cities and on highways for varying vehicular densities. Next, to model the time evolution of LOS blockage for V2V links, we employ a three-state discrete-time Markov chain comprised of the following states: i) LOS; ii) non-LOS due to static objects (e.g., buildings, trees, etc.); and iii) non-LOS due to mobile objects (vehicles). We obtain state transition probabilities based on the evolution of LOS blockage. Finally, we perform curve fitting and obtain a set of distance-dependent equations for both LOS and transition probabilities. These equations can be used to generate time-evolved V2V channel realizations for representative urban and highway environments. Our results can be used to perform highly efficient and accurate simulations without the need to employ complex geometry-based models for link evolution. I. INTRODUCTIONIn contrast to existing cellular networks that focus primarily on increasing the mobile data rates, fifth-generation (5G) network is expected to efficiently support the so-called vertical industries (e.g., industrial, eHealth, and automotive vertical, among other). Supporting automotive vertical, in the form of vehicle-to-anything (V2X) communication, is seen as one of the most challenging tasks for 5G networks, particularly in terms of end-to-end latency and reliability [1].One of the key distinguishing features of V2X communication is the high mobility, possibly on both sides of the link (as in the case of V2V communication). Another salient aspect of V2X communication is that it is often related to safety, either directly (e.g., emergency braking, intersection collision avoidance application [2], etc.) or indirectly (e.g., platooning, lane-change maneuvers, etc.). To ensure that V2X communication systems can support the application requirements efficiently, a key initial step is realistically defining the channel characteristics for different environments (e.g., urban, highway, rural) and V2X communication types (e.g., V2V, V2I, V2P). Given the V2X application requirements, one of the most relevant aspects of channel modeling is the time evolution of V2V links and the related concept of spatial consistency. Time and space evolution of LOS blockage refers to time-consistent realization of LOS blockage for V2V channels, based on the location of the transmitter (Tx), the receiver (Rx), and the composition of their surroundings. Consistent LOS blockage realization is important in order to assign the appropriate path loss, shadowing, small-scale, and large-scale parameters over time and space. This implies that there should be a continuity in terms of vehicle locations over time (i.e., requiring a continuous vehicle movement) and in terms of scatterer distribution around the vehicles.In the realm of the 3GPP...

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Section: A Mobility Modelingmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Modeling the Evolution of Line-of-Sight Blockage for V2V Channels

Boban

Gong

2016

2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)

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“…Distance from Transmitter sparse traffic dense traffic Figure 7: Reception probability for safety beaconing with increasing distance from the transmitter using the radio propagation model from [36] under different vehicular densities.…”

Section: Simulation Scenariomentioning

confidence: 99%

Reverse back-off mechanism for safety vehicular ad hoc networks

Stanica¹,

Chaput²,

Beylot³

2014

Ad Hoc Networks

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Vehicular ad hoc networks can play an important role in enhancing transportation efficiency and improving road safety. Therefore, direct vehicle-tovehicle communications are considered as one of the main building blocks of a future Intelligent Transportation System. The success and availability of IEEE 802.11 radios made this technology the most probable choice for the medium access control layer in vehicular networks. However, IEEE 802.11 was originally designed in a wireless local area network context and it is not optimised for a dynamic, ad hoc vehicular scenario. In this paper, we investigate the compatibility of the IEEE 802.11 medium access control protocol with the requirements of safety vehicular applications. As the protocols in this family are well-known for their scalability problems, we are especially interested in high density scenarios, quite frequent on today's roads. Using an analytical framework, we study the performance of the back-off mechanism and the role of the contention window on the control channel of a vehicular network. Based on these findings, we propose a reverse back-off mechanism, specifically designed with road safety applications in mind. Extensive simulations are carried out to prove the efficiency of the proposed enhancement Preprint submitted to Ad Hoc Networks November 27, 2013 scheme and to better understand the characteristics of vehicular communications.

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“…The Doppler effect and effects due to the presence of cars, buildings, and other structures could be significant. Dhoutaut et al [10] propose a simple model that switches between a small number of predefined interference states. Moser et al [11], on the other hand, give a much more accurate model using raytracing that relies on having a detailed model of the environment and requires much greater computational resources to simulate.…”

Section: Related Workmentioning

confidence: 99%

Efficiency analysis of formally verified adaptive cruise controllers

Loos

Witmer

Steenkiste

et al. 2013

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

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Abstract-We consider an adaptive cruise control system in which control decisions are made based on position and velocity information received from other vehicles via V2V wireless communication. If the vehicles follow each other at a close distance, they have better wireless reception but collisions may occur when a follower car does not receive notice about the decelerations of the leader car fast enough to react before it is too late. If the vehicles are farther apart, they would have a bigger safety margin, but the wireless communication drops out more often, so that the follower car no longer receives what the leader car is doing. In order to guarantee safety, such a system must return control to the driver if it does not receive an update from a nearby vehicle within some timeout period. The value of this timeout parameter encodes a tradeoff between the likelihood that an update is received and the maximum safe acceleration. Combining formal verification techniques for hybrid systems with a wireless communication model, we analyze how the expected efficiency of a provablysafe adaptive cruise control system is affected by the value of this timeout.

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Impact of radio propagation models in vehicular ad hoc networks simulations

Cited by 75 publications

References 5 publications

Modeling the Evolution of Line-of-Sight Blockage for V2V Channels

Modeling the Evolution of Line-of-Sight Blockage for V2V Channels

Reverse back-off mechanism for safety vehicular ad hoc networks

Efficiency analysis of formally verified adaptive cruise controllers

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