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Published in: The Journal of Supercomputing 7/2021

02-01-2021

Data congestion in VANETs: research directions and new trends through a bibliometric analysis

Authors: Tarandeep Kaur Bhatia, Ramkumar Ketti Ramachandran, Robin Doss, Lei Pan

Published in: The Journal of Supercomputing | Issue 7/2021

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Abstract

Vehicular Ad hoc Networks (VANETs) become increasingly popular in academia and manufacturing businesses. The VANETs domain attracts massive attention from various authors all over the world on a large scale. However, substantial research efforts are expected in the VANETs field to solve the data congestion problem. For this, it is vital to state the current status of research in this domain. As the research publications have substantially increased since 2009, a bibliometric analysis is necessary for researchers to understand actual results and findings in this area. This paper examines and analyzes the status of research trends between 2010 and 2019 for the domain “Data congestion in VANETs” by applying various parameters. As extracted from the Scopus database till December 31, 2019, a total of 11,109 publications are associated with the VANETs domain. Moreover, 434 publications among the collection are related to data congestion in the VANETs field. Finally, a software tool named the VOSviewer is used to create and envision the selected field’s bibliometric networks. This analysis paper will help the researchers to catch the research trends of data congestion in VANETs.

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Metadata
Title
Data congestion in VANETs: research directions and new trends through a bibliometric analysis
Authors
Tarandeep Kaur Bhatia
Ramkumar Ketti Ramachandran
Robin Doss
Lei Pan
Publication date
02-01-2021
Publisher
Springer US
Published in
The Journal of Supercomputing / Issue 7/2021
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-020-03520-7

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