No full text
Article (Scientific journals)
Duplicate Suppression for Efficient Floating Car Data Collection in Heterogeneous LTE-DSRC Vehicular Networks
Turcanu, Ion; Klingler, Florian; Sommer, Christoph et al.
2018In Computer Communications, 123, p. 54-64
Peer Reviewed verified by ORBi
 

Files


Full Text
No document available.
Annexes
turcanu2018duplicate.pdf
(650.12 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] Collecting data from a large number of agents scattered over a region of interest is becoming an increasingly appealing paradigm to feed big data archives that lay the ground for a vast array of applications. Vehicular Floating Car Data (FCD) collection is a major representative of this paradigm. Massive data collection from floating vehicles is the key to Intelligent Transportation Systems. We address the design and performance evaluation of a data collection protocol for the use case of periodic data collection. We target robustness, optimizing the amount of data and the value of the collection period, keeping in mind the goals of autonomous node operation and minimal coordination effort. From a system point of view, we believe that best solutions should jointly exploit the Long Term Evolution (LTE) cellular access network and the Dedicated Short-Range Communication (DSRC) based Vehicular Ad Hoc Network (VANET). Through a detailed comparative analysis, we show that such a hybrid approach offers superior performance, especially as for offloading the cellular radio access. A lightweight signaling procedure is designed, based on the DSRC VANET, which is able to avoid most of the duplicated data records, even if a distributed operation approach is pursued. The impact of the proposed protocol on the VANET load is evaluated and proved to be quite small, so that it does not interfere with other VANET-specific messages.
Disciplines :
Computer science
Author, co-author :
Turcanu, Ion ;  University of Rome Sapienza > Department of Information Engineering, Electronics and Telecommunications
Klingler, Florian;  Paderborn University > Heinz Nixdorf Institute and Department of Computer Science
Sommer, Christoph;  Paderborn University > Heinz Nixdorf Institute and Department of Computer Science
Baiocchi, Andrea;  University of Rome Sapienza > Department of Information Engineering, Electronics and Telecommunications
Dressler, Falko;  Paderborn University > Heinz Nixdorf Institute and Department of Computer Science
External co-authors :
yes
Language :
English
Title :
Duplicate Suppression for Efficient Floating Car Data Collection in Heterogeneous LTE-DSRC Vehicular Networks
Publication date :
21 March 2018
Journal title :
Computer Communications
ISSN :
0140-3664
Publisher :
Elsevier Science, Amsterdam, Netherlands
Volume :
123
Pages :
54-64
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 27 March 2018

Statistics


Number of views
101 (15 by Unilu)
Number of downloads
149 (6 by Unilu)

Scopus citations®
 
14
Scopus citations®
without self-citations
10
OpenCitations
 
12
WoS citations
 
10

Bibliography


Similar publications



Contact ORBilu