Empirical IEEE 802.11p performance evaluation on test tracks

Demmel, Sébastien; Lambert, Alain; Gruyer, Dominique; Rakotonirainy, Andry

doi:10.1109/ivs.2012.6232268

Cited by 31 publications

(28 citation statements)

References 14 publications

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“…The chosen test location was the test tracks of Satory (near Versailles, France), that can stand in for a suburban or rural environment. The experimental setup, scenarios, and detailed results can be found in [8], [14]. For the remainder of this section, we will give a brief overview of our previous findings.…”

Section: A Summary Of Experimental Resultsmentioning

confidence: 99%

“…Initial measurements suggested an important difference arising from the direction of driving: the maximum range would shift by hundreds of metres depending whether the vehicle was driving away or toward the RSU. However, further investigations shown that this effect was merely resulting from the combination of antennas' inhomogeneities and some amplificatory effect by the vehicle's body shape (for more details, see [8], section IV-A). When properly controlled for those latter effects, there was no significant difference due to the direction of movement.…”

Section: A Summary Of Experimental Resultsmentioning

confidence: 99%

“…In this paper, we presented a performance model for IEEE 802.11p-based IVC aimed at higher-level simulations of Co- Our model is based on the data collected during extensive field trials conducted over the Satory's test tracks (presented in a previous paper [8]), and focuses on three fundamental metrics: range, frame loss, and latency, using only the relative speed and distance as inputs. We use the frame loss profile concept: one profile provides a continuous frame loss probability over the whole range, for each connection established between two IVC devices, on-board or on the roadside.…”

Section: Discussionmentioning

confidence: 99%

“…The mobile emitter is the Clio 3, and the static receptors are two RSU built from the same hardware used in previous tests [8], [14]. The effect of hardware, especially antennas, inhomogeneities is minimised by careful placement: the maximum gain regions of each antenna are placed so that they will face each other when the vehicle is driving toward the two receptors.…”

Section: B Experimental Setupmentioning

confidence: 99%

“…However, there are few physical models based on empirical data. We have previously shown that the theoretical and actual performance of IEEE 802.11p are likely to diverge considerably [8]. In order to account for those variations, especially to verify they do no hinder the expected benefits of cooperative applications, models constructed from empirical data are necessary.…”

Section: Introductionmentioning

confidence: 99%

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Abstract-IEEE 802.11p is the new standard for InterVehicular Communications (IVC) using the 5.9 GHz frequency band, as part of the DSRC framework; it will enable applications based on Cooperative Systems. Simulation is widely used to estimate or verify the potential benefits of such cooperative applications, notably in terms of safety for the drivers. We have developed a performance model for 802.11p that can be used by simulations of cooperative applications (e.g. collision avoidance) without requiring intricate models of the whole IVC stack. Instead, it provide a a straightforward yet realistic modelisation of IVC performance. Our model uses data from extensive field trials to infer the correlation between speed, distance and performance metrics such as maximum range, latency and frame loss. Then, we improve this model to limit the number of profiles that have to be generated when there are more than a few couples of emitter-receptor in a given location. Our model generates realistic performance for rural or suburban environments among small groups of IVC-equipped vehicles and road side units.

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Section: A Summary Of Experimental Resultsmentioning

confidence: 99%

Section: A Summary Of Experimental Resultsmentioning

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Section: Discussionmentioning

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Section: B Experimental Setupmentioning

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Section: Introductionmentioning

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Smart cities utilise a large number of heterogeneous devices with goal to improve all aspects of city operations. This often includes critical functionality, which brings strict requirements on network communication. One of the most important requirements is network latency. This paper analyses latency requirements in areas of smart cities and related domains. Analysed requirements are then practically tested in use case networks based on software-defined networking-a modern paradigm of network programmability, which is becoming used in various areas, including smart cities. The goal of the testing is to verify, if software-defined networking can achieve analysed requirements and can be therefore safely utilised as a driving technology of smart cities. Realistic results are achieved by testing in two different scenarios: in a small scale network composed from real hardware devices, and in a large scale emulated network corresponding to a typical smart city topology.

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Architecting a self-adaptive system with decentralized control is challenging. Indeed, architects shall consider several different and interdependent design dimensions and devise multiple control loops to coordinate and timely perform the correct adaptations. To support this task, we propose Decor, a reasoning framework for architecting and evaluating decentralized control. Decor provides (i) multi-paradigm modeling support, (ii) a modeling environment for MAPE-K style decentralized control, and (iii) a co-simulation environment for simulating the decentralized control together with the managed system and estimating the quality attributes of interest. We apply the Decor in three case studies: an intelligent transportation system, a smart power grid, and a cloud computing application. The studies demonstrate the framework’s capabilities to support informed architectural decisions on decentralized control and adaptation strategies.

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Empirical IEEE 802.11p performance evaluation on test tracks

Cited by 31 publications

References 14 publications

An IEEE 802.11p empirical performance model for Cooperative Systems applications

An IEEE 802.11p empirical performance model for Cooperative Systems applications

Meeting Smart City Latency Demands with SDN

Architecting decentralized control in large-scale self-adaptive systems

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