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MDDV: A Mobility-Centric Data Dissemination Algorithm . . . (2004)
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BibTeX
@MISC{Wu04mddv:a,
author = {Hao Wu and Richard Fujimoto and Randall Guensler and Michael Hunter},
title = {MDDV: A Mobility-Centric Data Dissemination Algorithm . . . },
year = {2004}
}
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Abstract
There has been increasing interest in the exploitation of advances in information technology in surface transportation systems. One trend is to exploit on-board sensing, computing and communication capabilities in vehicles, e.g., to augment and enhance existing intelligent transportation systems. A natural approach is to use vehicle-to-vehicle communications to disseminate information. In this paper, we propose MDDV, a mobility-centric approach for data dissemination in vehicular networks designed to operate efficiently and reliably despite the highly mobile, partitioned nature of these networks. MDDV is designed to exploit vehicle mobility for data dissemination, and combines the idea of opportunistic forwarding, trajectory based forwarding and geographical forwarding. We develop a generic mobile computing approach for designing localized algorithms in vehicular networks. Vehicles perform local operations based on their own knowledge while they collectively achieve a global behavior. We evaluate the performance of the MDDV algorithm using realistic simulation of the vehicle traffic in Atlanta area.
Keyphrases
mobility-centric data dissemination algorithm vehicular network data dissemination intelligent transportation system geographical forwarding localized algorithm surface transportation system partitioned nature opportunistic forwarding mddv algorithm vehicle traffic atlanta area generic mobile communication capability natural approach realistic simulation information technology mobility-centric approach global behavior on-board sensing local operation vehicle mobility vehicle-to-vehicle communication
