Evaluating the Impact of a Novel Warning Message Dissemination Scheme for VANETs Using Real City Maps

Proceedings of the 16th ACM International Conference on Modeling, Analysis &Amp; Simulation of Wireless and Mobile Systems

et al. 2013

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In Vehicular ad hoc Networks (VANETs), efficient dissemination of messages is a key factor to speed up the development of useful services and applications. In this paper, we propose a novel algorithm that automatically chooses the best dissemination scheme trying to fit the warning message delivery policy to the current characteristics of each specific vehicular scenario. Our mechanism uses as input parameters the vehicular density and the topological characteristics of the environment where the vehicles are located, in order to decide which dissemination scheme to use. Simulation results demonstrate the feasibility of our approach, which is able to support more efficient warning message dissemination in vehicular environments.

Section: Broadcast Schemesmentioning

confidence: 99%

On the selection of optimal broadcast schemes in VANETs

Proceedings of the 16th ACM International Conference on Modeling, Analysis &Amp; Simulation of Wireless and Mobile Systems

et al. 2013

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“…They have not addressed the impact of buildings and other urban obstacles on the wireless signal propagation in realistic urban scenarios. The consequences derived from those incomplete analyses can be observed when their performance is tested in realistic urban topologies, showing that they are unable to choose suitable relaying vehicles, or proving to be too restrictive to achieve an efficient dissemination (Martinez et al, 2010).…”

Section: Broadcast Schemes Usedmentioning

confidence: 99%

RTAD: A real-time adaptive dissemination system for VANETs

Computer Communications

et al. 2015

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Efficient message dissemination is of utmost importance to propel the development of useful services and applications in Vehicular ad hoc Networks (VANETs).In this paper, we propose a novel adaptive system that allows each vehicle to automatically adopt the optimal dissemination scheme in order to fit the warning message delivery policy to each specific situation. Our mechanism uses as input parameters the vehicular density and the topological characteristics of the environment where the vehicles are located, in order to decide which dissemination scheme to use. We compare our proposal with respect to two static dissemination schemes (eMDR and NJL), and three adaptive dissemination systems (UV-CAST, FDPD, and DV-CAST). Simulation results demonstrate that our approach significantly improves upon these solutions, being able to support more efficient warning message dissemination in all situations ranging from low densities with complex maps, to high densities in simple scenarios. In particular, RTAD improves existing approaches in terms of percentage of vehicles informed, while significantly reducing the number of messages sent, thus mitigating broadcast storms.

“…• The enhanced Street Broadcast Reduction (eSBR) (Martinez et al, 2010). This scheme is specially designed to be used in VANETs, taking advantage of the information provided by maps and built-in positioning systems, such as the Global Positioning System (GPS).…”

Section: Low Density Conditionsmentioning

confidence: 99%

Using topology and neighbor information to overcome adverse vehicle density conditions

Transportation Research Part C: Emerging Technologies

et al. 2014

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Vehicular networks supporting cooperative driving on the road have attracted much attention due to the plethora of new possibilities they offer to modern Intelligent Transportation Systems. However, research works regarding vehicular networks usually obviate assessing their proposals in scenarios including adverse vehicle densities far from the average values, despite being common in real urban environments. In this paper, we study the effect of these hostile conditions on the performance of different schemes providing warning message dissemination. The goal of these schemes is to maximize message delivery effectiveness, something difficult to achieve in adverse density scenarios. In addition, we propose the Neighbor Store and Forward (NSF) scheme, designed to be used under low density conditions, and the Nearest Junction Located (NJL) scheme, specially developed for high density conditions. Simulation results demonstrate that our proposals are able to outperform existing warning message dissemination schemes in urban environments under adverse vehicle density conditions. In particular, NSF reduces the warning notification time in low vehicle density scenarios, while increasing up to 23.3% the percentage of informed vehicles. As for high vehicle density conditions, NJL is able to inform the same percentage of vehicles than other existing approaches, while reducing the number of messages up to 46.73%.