scholarly journals D4V: a peer-to-peer architecture for data dissemination in smartphone-based vehicular applications

2015 ◽  
Vol 1 ◽  
pp. e15 ◽  
Author(s):  
Marco Picone ◽  
Michele Amoretti ◽  
Gianluigi Ferrari ◽  
Francesco Zanichelli
Author(s):  
Bogdan Mocanu ◽  
Florin Pop ◽  
Alexandra Mihaita Mocanu ◽  
Ciprian Dobre ◽  
Valentin Cristea

Author(s):  
Chi-Jen Wu ◽  
Cheng-Ying Li ◽  
Kai-Hsiang Yang ◽  
Jan-Ming Ho ◽  
Ming-Syan Chen

Author(s):  
Thomas Repantis ◽  
Vana Kalogeraki

In this chapter the authors study the problems of data dissemination and query routing in mobile peerto- peer networks. They provide a taxonomy and discussion of existing literature, spanning overlay topologies, query routing, and data propagation. They proceed by proposing content-driven routing and adaptive data dissemination algorithms for intelligently routing search queries in a peer-to-peer network that supports mobile users. In the authors’ mechanism, nodes build content synopses of their data and adaptively disseminate them to their most appropriate peers. Based on the content synopses, a routing mechanism is being built, to forward the queries to those peers that have a high probability of providing the desired results. The authors provide an experimental evaluation of different dissemination strategies, which shows that content-driven routing and adaptive data dissemination is highly scalable and significantly improves resource usage.


2014 ◽  
Vol 90 ◽  
pp. 179-190 ◽  
Author(s):  
Fotis Loukos ◽  
Helen Karatza ◽  
Vana Kalogeraki

2008 ◽  
Vol 50 (4) ◽  
Author(s):  
Christian Lochert ◽  
Jedrzej Rybicki ◽  
Björn Scheuermann ◽  
Martin Mauve

SummaryThis paper investigates the scalable dissemination of data between vehicles. The application context of this work is traffic information systems where cars are not only consumers but also producers of information. The key challenge in those systems is to ensure scalability in an environment where data is provided and requested by all participating vehicles in a large area. We discuss two fundamentally different approaches to this problem: using direct communication between cars and compressing the data via aggregation versus relying on infrastructure. The latter approach can further be divided into client-server and peer-to-peer systems. We outline all three approaches and highlight their advantages and disadvantages.


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