The broadcast storm problem in a mobile ad hoc network
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Broadcast reception rates and effects of priority access in 802.11-based vehicular ad-hoc networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Efficient Data Harvesting in Mobile Sensor Platforms
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
A survey of urban vehicular sensing platforms
Computer Networks: The International Journal of Computer and Telecommunications Networking
Exploiting the wisdom of the crowd: localized, distributed information-centric VANETs
IEEE Communications Magazine
Vehicular networks and the future of the mobile internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Communication protocols for vehicular ad hoc networks
Wireless Communications & Mobile Computing
Delay-bounded data gathering in urban vehicular sensor networks
Pervasive and Mobile Computing
Mobeyes: smart mobs for urban monitoring with a vehicular sensor network
IEEE Wireless Communications
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In this paper, we propose a newly distributed protocol called Advanced Diffusion of Classified Data (ADCD) to manage information harvesting and distribution in vehicular sensor networks. ADCD aims at reducing the generated overhead, avoiding network congestions as well as long latency to deliver the harvested information. The concept of ADCD is based on the characterization of sensed information (i.e., based on its importance, location, and time of collection) and the diffusion of this information accordingly. Furthermore, ADCD uses an adaptive broadcasting strategy to avoid overwhelming users with messages in which they have no interest. Also, we propose in this paper a new probabilistic model for ADCD based on Markov chain. This one aims to optimally tune the parameters of ADCD, such as the optimal number of broadcaster nodes. The analytical and simulation results based on different metrics, such as the overhead, the delivery ratio, the probability of a complete transmission, and the minimal number of hops, are presented. These results illustrate that ADCD allows mitigating the information redundancy and its delivery with an adequate latency while making the reception of interesting data for the drivers (related to their location) more adapted. Moreover, the ADCD protocol reduces the overhead by 90% compared with the classical broadcast and an adapted version of MobEyes. The ADCD overhead is kept stable whatever the vehicular density. Copyright © 2011 John Wiley & Sons, Ltd. (We propose a newly distributed protocol called Advanced Diffusion of Classified Data (ADCD) to manage information harvesting and distribution in vehicular sensor networks. ADCD is based on the characterization of sensed information and uses an adaptive broadcasting strategy to avoid overwhelming users with messages in which they have no interest. Moreover, we propose a new probabilistic model for ADCD based on Markov chain to optimally tune its parameters. The performance results illustrate that ADCD makes the reception of interesting data for the drivers more adapted and that ADCD reduces the overhead.)