| Title |
Estimating Smart City Sensors Data Generation Current and Future Data in the City of Barcelona |
| ID_Doc |
36844 |
| Authors |
Sinaeepourfard, A; Garcia, J; Masip-Bruin, X; Marín-Tordera, E; Cirera, J; Grau, G; Casaus, F |
| Title |
Estimating Smart City Sensors Data Generation Current and Future Data in the City of Barcelona |
| Year |
2016 |
| Published |
|
| DOI |
|
| Abstract |
Nowadays, Smart Cities are positioned as one of the most challenging and important research topics, highlighting major changes in people's lifestyle. Technologies such as smart energy, smart transportation or smart health are being designed to improve citizen's quality of life. Smart Cities leverage the deployment of a network of devices - sensors and mobile devices-, all connected through different means and/or technologies, according to their network availability and capacities, setting a novel framework feeding end-users with an innovative set of smart services. Aligned to this objective, a typical Smart City architecture is organized into layers, including a sensing layer (generates data), a network layer (moves the data), a middleware layer (manages all collected data and makes it ready for usage) and an application layer (provides the smart services benefiting from this data). In this paper a real Smart City is analyzed, corresponding to the city of Barcelona, with special emphasis on the layers responsible for collecting the data generated by the deployed sensors. The amount of daily sensors data transmitted through the network has been estimated and a rough projection has been made assuming an exhaustive deployment that fully covers all city. Finally, we discuss some solutions to both reduce the data transmission and improve the data management. |
| Author Keywords |
Smart City; Sensor Data; Data Managment; Data Collection; Data Aggregation; Internet of Things |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000391255100008 |
| WoS Category |
Computer Science, Hardware & Architecture |
| Research Area |
Computer Science |
| PDF |
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