Road safety applications envisaged for Vehicular Ad Hoc Networks (VANETs) depend largely on the dissemination of warning messages to deliver information to concerned vehicles. The intended applications, as well as some inherent VANET characteristics, make data dissemination an essential service and a challenging task in this kind of networks. This work lays out a decentralized stochastic solution for the data dissemination problem through two game-theoretical mechanisms. Given the non-stationarity induced by a highly dynamic topology, diverse network densities, and intermittent connectivity, a solution for the formulated game requires an adaptive procedure able to exploit the environment changes. Extensive simulations reveal that our proposal excels in terms of number of transmissions, lower end-to-end delay and reduced overhead while maintaining high delivery ratio, compared to other proposals.

Obstacles in Vehicular ad hoc networks (VANETs) in urban scenarios are an important issue. Normally, in traffic simulators vehicles can send/receive packets between each other if they are in the same transmission range no matter if an obstacle is presented or not between them. For this reason, checking if there is an obstacle between sender and receiver is an important goal. In this paper, we present a program named REVsim1.0 (Realistic Environment for Vanets simulation) [1] capable to detect at each instant of time if between a sender and a receiver a communication can be established or conversely, if an obstacle is found and such a communication is not possible. Parameters such as α, β, road resolution and transmission range have been defined and used in our proposed algorithm. Finally, a validation of our algorithm is shown.Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org.

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Resumen-Road safety applications envisaged for vehicular ad hoc networks (VANETs) depend largely on the exchange of messages to deliver information to concerned vehicles. Safety applications as well as inherent VANET characteristics make data dissemination an essential service and a challenging task. We are developing a decentralized efficient solution for broadcast data dissemination through two game-theoretical mechanisms. Besides, VANETs can also include autonomous vehicles (AVs). AVs might represent a revolutionary new paradigm that can be a reality in our cities in the next few years. AVs do not need a driver to work; instead, they should copy a proper human behavior to adapt the driving according to the current circumstances, such as speed limit, pedestrian crossing street or wheather conditions. We will develop an AV software module including artificial intelligence (AI) techniques so that AVs can interact with the dynamic scenario throughout time. Finally, we also will include electrical vehicles (EV) in the VANET, so that special services such as finding and reserving an EV charging station place will be welcome. In addition, we are developing a multimetric geographic routing protocol for VANETs to transmit H.265 video (traffic accident, traffic state, commercial….) over VANETs.Palabras Clave-Vehicular Ad hoc NETworks, video dissemination, privacy in VANETs, electrical vehicle (EV), autonomous vehicle (AV), artificial intelligence (AI). I. INTRODUCCIÓNVehicular ad hoc networks (VANETs) are foreseen as an essential component of the future intelligent transportation systems (ITS) to support safety, traffic management, and user infotainment applications. VANETs are a type of mobile ad-hoc networks (MANETs) forming self-organized networks without the requirement of permanent infrastructure, in which nodes are vehicles. Thus, the network topology might change rapidly due to the high mobility of nodes (vehicles), which makes communications a challenge.VANET vehicles can stablish vehicle-to-vehicle (V2V) communications to share information, as well as vehicle-to-infrastructure (V2I) communications for other kind of services. VANETs are intented for safeapplications, traffic management, and enhanced navigation among other services.Today, road traffic is the ninth biggest cause of death worldwide. By 2030, the increase in the number of vehicles will see road traffic become the fifth largest cause of death. One of the most important uses of VANETs are safety applications, which usually rely on broadcast-based algorithms. Flooding-based algorithms can be used to disseminate emergency messages rapidly and efficiently through the VANET to warn vehicles around e.g. an accident. Thus, a key research problem is the design of a scalable dissemination scheme, which is efficient, reliable and incurres short delay under different VANET conditions. To tackle this issue, we have developed an Adaptive Distributed Dissemination (ADD) [1] protocol, based on game-theoretical algorithms to compute the forwarding probability of no...

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