SensingBus: Using Bus Lines and Fog Computing for Smart Sensing the City
| Autor: | Pedro Henrique Cruz Caminha, Felipe Ferreira da Silva, Miguel Elias M. Campista, Rodrigo S. Couto, Luis Henrique M. K. Costa, Pedro B. Velloso, Roberto Gonçalves Pacheco |
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| Rok vydání: | 2018 |
| Předmět: |
Data collection
Cover (telecommunications) Computer Networks and Communications Computer science business.industry Real-time computing 020206 networking & telecommunications Cloud computing 02 engineering and technology 010501 environmental sciences 01 natural sciences Computer Science Applications Task (computing) Intelligent sensor Data acquisition Public transport Node (computer science) 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) business Software 0105 earth and related environmental sciences |
| Zdroj: | IEEE Cloud Computing. 5:58-69 |
| ISSN: | 2372-2568 |
| DOI: | 10.1109/mcc.2018.053711667 |
| Popis: | Collecting data is an important task to build smart cities. This work proposes SensingBus, a system to collect data from sensors carried by urban buses. Using buses to move sensors allows each node to cover a wider area, at a negligible cost. SensingBus is based on a three-level architecture. At the first level, sensing nodes collect and send data to the second level, consisting of fog nodes. The fog nodes pre-process and deliver data to the third level, the cloud infrastructure, which stores and makes data externally available. The fog infrastructure, on the other hand, discards defective data, compresses information, and provides secure access points between fog and cloud. To validate SensingBus, we build a prototype and perform experiments to stress the fog nodes. We verify that each one can accommodate at least 20 simultaneous sensing nodes, an adequate number to sense a city such as Rio de Janeiro. |
| Databáze: | OpenAIRE |
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