The broadcast storm problem in a mobile ad hoc network
Wireless Networks - Selected Papers from Mobicom'99
Adaptive Reactive Routing for VANET in City Environments
ISPAN '09 Proceedings of the 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks
Stochastic broadcast for VANET
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Assessing the Impact of a Realistic Radio Propagation Model on VANET Scenarios Using Real Maps
NCA '10 Proceedings of the 2010 Ninth IEEE International Symposium on Network Computing and Applications
A survey and comparative study of simulators for vehicular ad hoc networks (VANETs)
Wireless Communications & Mobile Computing
PAWDS: A Roadmap Profile-Driven Adaptive System for Alert Dissemination in VANETs
NCA '11 Proceedings of the 2011 IEEE 10th International Symposium on Network Computing and Applications
MASCOTS '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems
NETWORKING'10 Proceedings of the 9th IFIP TC 6 international conference on Networking
Broadcast storm mitigation techniques in vehicular ad hoc networks
IEEE Wireless Communications
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In recent years, new applications, architectures, and technologies have been proposed for vehicular ad hoc networks (VANETs). Regarding traffic safety applications for VANETs, warning messages have to be quickly and smartly disseminated in order to reduce the required dissemination time and to increase the number of vehicles receiving the traffic warning information. In the past, several approaches have been proposed to improve the alert dissemination process in multihop wireless networks, but none of them were tested in real urban scenarios, adapting its behavior to the propagation features of the scenario. In this paper, we present the Profile-driven Adaptive Warning Dissemination Scheme (PAWDS) designed to improve the warning message dissemination process. With respect to previous proposals, our proposed scheme uses a mapping technique based on adapting the dissemination strategy according to both the characteristics of the street area where the vehicles are moving and the density of vehicles in the target scenario. Our algorithm reported a noticeable improvement in the performance of alert dissemination processes in scenarios based on real city maps.