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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2014

01.03.2014

Performance Analysis and Improvement Content Discovery Protocols Over Vehicular Networks

verfasst von: Morteza Romoozi, Mahmood Fathy, Reza Berangi

Erschienen in: Wireless Personal Communications | Ausgabe 2/2014

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Abstract

Recently P2P networks and theirs applications have become increasingly popular. On the other hand, considering ever increasing industrial and scholarly popularity of Vehicular Ad-hoc Networks (VANETs), implementation P2P network over VANET has attracted attentions recently. One of the most important applications in P2P networks is content discovery. This paper presents an evaluation framework which evaluates challenges in VANET and their impact on performance of content discovery protocols including structured or unstructured ones. This evaluation is based on simulation and mathematical modeling. For mathematical modeling, Generalized Random Graph has been used. Results of evaluation clarified a higher performance on unstructured protocol and also impact of movement pattern and environmental characteristic of VANET on performance on content discovery protocols. Furthermore, based on evaluation results, some modifications in the manner of comprising overlay network were presented. This modification emphasizes matching of overlay networks and underlay networks and also using traffic flow of vehicles in comprising overlay links. Positive impact of this modification has been shown by simulation and mathematical modeling.
Vorheriger Artikel Circular Polarization in Defected Hexagonal Shaped Microstrip Antenna
Nächster Artikel Resource Allocation of Limited Feedback in Clustered Wireless Mesh Networks

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Metadaten
Titel
Performance Analysis and Improvement Content Discovery Protocols Over Vehicular Networks
verfasst von
Morteza Romoozi
Mahmood Fathy
Reza Berangi
Publikationsdatum
01.03.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-013-1395-2

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