DMCA
DDRC: Data Dissemination in Vehicular Networks Using Rateless Codes*
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BibTeX
@MISC{Sardari_ddrc:data,
author = {Mohsen Sardari and Faramarz Hendessi and Faramarz Fekri},
title = {DDRC: Data Dissemination in Vehicular Networks Using Rateless Codes*},
year = {}
}
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Abstract
In this paper, we address the problem of delivering multimedia content to a sparse vehicular network from roadside info-stations, using efficient vehicle-to-vehicle col-laboration. Due to the highly dynamic nature of the underlying vehicular network topol-ogy, we depart from architectures requiring centralized coordination, reliable MAC scheduling, or global network state knowledge, and instead adopt a distributed paradigm with simple protocols. In other words, we investigate the problem of reliable dissemina-tion from multiple sources when each node in the network shares a limited amount of its resources for cooperating with others. By using rateless coding at the Road Side Unit (RSU) and using vehicles as data carriers, we describe an efficient way to achieve reli-able dissemination to all nodes (even disconnected clusters in the network). In the nut-shell, we explore vehicles as mobile storage devices. We then develop a method to keep the density of the rateless coded packets as a function of distance from the RSU at the desired level set for the target decoding distance. We investigate various tradeoffs in-volving buffer size, maximum capacity, and the mobility parameter of the vehicles.
Keyphrases
vehicular network using rateless code data dissemination simple protocol mobility parameter global network state knowledge multiple source various tradeoff in-volving buffer size mobile storage device efficient way rateless coding efficient vehicle-to-vehicle col-laboration desired level roadside info-stations distributed paradigm reli-able dissemination multimedia content road side unit reliable mac scheduling centralized coordination reliable dissemina-tion limited amount maximum capacity data carrier sparse vehicular network network share vehicular network topol-ogy dynamic nature
