MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
The broadcast storm problem in a mobile ad hoc network
Wireless Networks - Selected Papers from Mobicom'99
An epidemic model for information diffusion in MANETs
MSWiM '02 Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Pushing the Limits of Multicast in Ad Hoc Networks
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Modeling epidemic information dissemination on mobile devices with finite buffers
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
A New Product Growth for Model Consumer Durables
Management Science
Comments on "A New Product Growth for Model Consumer Durables"
Management Science
A probabilistic routing protocol in VANET
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Reliable Routing in Vehicular Ad Hoc Networks
ICDCSW '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems Workshops
A Probabilistic Analysis of Link Duration in Vehicular Ad Hoc Networks
IEEE Transactions on Intelligent Transportation Systems
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The diffusion of time-critical information, like traffic alert messages, is critical and challenging in Vehicle Ad hoc Networks (VANETs). It is critical because lives of people on the road are at stake and is challenging due to a combination of highly dynamic mobility patterns, which result in rapidly changing network topologies, combined with the fast movement of vehicles and highly dynamic traffic patterns. Flooding-based alert diffusion among vehicles has a strong similarity with diffusion of a new product among people. Applying a diffusion model to alert messages enables the dissemination modeling of the alert messages among vehicles, and thus opening an opportunity to adopt appropriate strategies to recovery from the traffic accidents. In this paper, a diffusion model is developed for a flooding-based alert message diffusion algorithm and the diffusion speed is explored. The fact that information value (or importance) is decreasing with time and distance, is also considered in the proposed model. We analytically investigate the impact parameters on time-critical information diffusion by mapping to the classic BASS diffusion model [1, 2]. The analytical model allows the evaluation at runtime and enables vehicles to dynamically adapt their diffusion strategies depending on the local node density.