| Full text | |
| Author(s): |
Cruz Caminha, Pedro Henrique
[1]
;
Couto, Rodrigo de Souza
[2]
;
Maciel Kosmalski Costa, Luis Henrique
[1]
;
Fladenmuller, Anne
[3]
;
de Amorim, Marcelo Dias
[3]
Total Authors: 5
|
| Affiliation: | [1] Univ Fed Rio de Janeiro, Poli COPPE, Av Athos da Silveira Ramos 149, BR-21941972 Rio De Janeiro - Brazil
[2] Univ Estado Rio de Janeiro, DETEL PEL, Rua Sao Francisco Xavier 524, BR-20550013 Rio De Janeiro - Brazil
[3] Sorbonne Univ, CNRS, LIP6, 4 Pl Jussieu, F-75252 Paris - France
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | SENSORS; v. 18, n. 6 JUN 2018. |
| Web of Science Citations: | 1 |
| Abstract | |
A cost-effective approach to gather information in a smart city is to embed sensors in vehicles such as buses. To understand the limitations and opportunities of this model, it is fundamental to investigate the spatial coverage of such a network, especially in the case where only a subset of the buses have a sensing device embedded. In this paper, we propose a model to select the right subset of buses that maximizes the coverage of the city. We evaluate the model in a real scenario based on a large-scale dataset of more than 5700 buses in the city of Rio de Janeiro, Brazil. Among other findings, we observe that the fleet of buses covers approximately 5655 km of streets (approximately 47% of the streets) and show that it is possible to cover 94% of the same streets if only 18% of buses have sensing capabilities embedded. (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 |