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

Autor(es)

Dias, Daniel Souza ^[1] ; Costa, Luis Henrique M. K. ^[1] ; de Amorim, Marcelo Dias ^[2]

Afiliação do(s) autor(es)

^[1] Univ Fed Rio de Janeiro, DEL Poli, COPPE, GTA, PEE, Rio De Janeiro - Brazil

^[2] Sorbonne Univ, CNRS, LIP6, Paris - France

• Tipo de documento: Artigo Científico
• Fonte: VEHICULAR COMMUNICATIONS; v. 14, p. 80-96, OCT 2018.
• Citações Web of Science: 1

Resumo

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)

• Processo FAPESP: 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais
• Beneficiário: Nelson Luis Saldanha da Fonseca
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 15/24490-2 - MC2: computação móvel, distribuição de conteúdo e computação em nuvem
• Beneficiário: Luis Henrique Maciel Kosmalski Costa
• Modalidade de apoio: Auxílio à Pesquisa - Regular