Efficient multi-hop wireless broadcast protocol in vehicular networks using automated threshold function design

Summary Vehicular networking applications often use multi‐hop wireless broadcasting as a primary data dissemination mechanism. Therefore, protocols that efficiently and thoroughly propagate application data while adapting to a wide range of network density, vehicle distribution pattern, channel qual...

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Veröffentlicht in:International journal of communication systems 2015-08, Vol.28 (12), p.1829-1846
Hauptverfasser: Slavik, Michael, Mahgoub, Imad, Alwakeel, Mohammed
Format: Artikel
Sprache:eng
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Zusammenfassung:Summary Vehicular networking applications often use multi‐hop wireless broadcasting as a primary data dissemination mechanism. Therefore, protocols that efficiently and thoroughly propagate application data while adapting to a wide range of network density, vehicle distribution pattern, channel quality, and other conditions are critical for vehicular communications. Here, we design the Statistical Vehicular Broadcast (SVB) protocol to efficiently distribute data via multi‐hop broadcast in vehicular networks. First, we present an automated optimization technique for the design of threshold functions in statistical broadcasting methods. Next, we compare and analyze known statistical techniques, including different fundamental methods, assessment delay algorithms, and failsafe mechanisms. All combinations of these techniques are given threshold functions optimized using the proposed automated procedure then are evaluated in a wide range of simulations. High‐level statistical design principles and recommendations are established based on analysis of these results. Finally, we apply those principles to design SVB. It is evaluated in JiST/SWANS and is shown to achieve a high target reachability level while consuming less bandwidth than similar protocols across urban and highway vehicular networking scenarios.Copyright © 2014 John Wiley & Sons, Ltd. Vehicular networking applications often use multi‐hop wireless broadcasting as a primary data dissemination mechanism. We present an automated optimization technique for the design of threshold functions in statistical broadcasting methods for these applications, compare and contrast various statistical methods, and propose a new broadcasting protocol derived from these results.
ISSN:1074-5351
1099-1131
DOI:10.1002/dac.2799