| Title |
Adaptive Filtering as a Service for Smart City Applications |
| ID_Doc |
38150 |
| Authors |
Petrolo, R; Loscri, V; Mitton, N; Herrmann, E |
| Title |
Adaptive Filtering as a Service for Smart City Applications |
| Year |
2017 |
| Published |
|
| DOI |
|
| Abstract |
Smart cities are a key factor in the consumption of materials and resources. As populations grow and resources become scarcer, the efficient usage of these limited goods becomes more important. Building on and integrating with a huge amount of data, the cities of the future are becoming a realization today. There are millions of sensors in place already, monitoring various things in metropolises. In the near future, these sensors will multiply until they can monitor everything from streetlights and trashcans to road conditions and energy consumption. In this context, effective strategies or solutions for refining data sets can play a key role. Based on these premises, we propose intelligent and adaptive filtering mechanisms as a service (FIlAAS) integrated in the VITAL-OS middleware and will show their feasibility and their effectiveness in the smart city context. |
| Author Keywords |
Smart Cities; IoT; CoT; Filtering |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000463480000090 |
| WoS Category |
Automation & Control Systems; Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic |
| Research Area |
Automation & Control Systems; Computer Science; Engineering |
| PDF |
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