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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Data offloading capacity in a megalopolis using taxis and buses as data carriers

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Author(s):
Dias, Daniel Souza [1] ; Costa, Luis Henrique M. K. [1] ; de Amorim, Marcelo Dias [2]
Total Authors: 3
Affiliation:
[1] Univ Fed Rio de Janeiro, DEL Poli, COPPE, GTA, PEE, Rio De Janeiro - Brazil
[2] Sorbonne Univ, CNRS, LIP6, Paris - France
Total Affiliations: 2
Document type: Journal article
Source: VEHICULAR COMMUNICATIONS; v. 14, p. 80-96, OCT 2018.
Web of Science Citations: 1
Abstract

All means will be welcome to help data flow across smart cities. As a matter of fact, smart cities widely rely in sensing the environment, an action that is prone to generating huge amounts of data. A major challenge is how to collect such data in an efficient way without the need to deploy, whenever necessary, extra ( costly) cellular infrastructure. In this paper, we examine the possibility of creating a delay-tolerant vehicular network in the city of Rio de Janeiro, Brazil, using the public transportation system as a data carrier. We evaluate the capacity of such a network by analyzing a large mobility dataset reporting GPS positions of 12,456 buses and 5,833 taxis during a 24-hour period. Our results confirm the viability of the approach and reveal that hundreds of Terabytes can circulate across the city on a daily basis while achieving significant city coverage. (C) 2018 Elsevier Inc. All rights reserved. (AU)

FAPESP's process: 15/24494-8 - Communications and processing of big data in cloud and fog computing
Grantee:Nelson Luis Saldanha da Fonseca
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 15/24490-2 - MC2: mobile computing, content distribution, and cloud computing
Grantee:Luis Henrique Maciel Kosmalski Costa
Support Opportunities: Regular Research Grants