| Title |
Detecting Situations from Heterogeneous Internet of Things Data in Smart City Context |
| ID_Doc |
45603 |
| Authors |
Hossain, SKA; Rahman, MA; Hossain, MA |
| Title |
Detecting Situations from Heterogeneous Internet of Things Data in Smart City Context |
| Year |
2019 |
| Published |
|
| DOI |
10.1007/978-3-030-01174-1_85 |
| Abstract |
Internet of Things (IoT) offers a lot of benefits for building smart city today and tomorrow. In a smart city, large number of heterogeneous IoT devices are likely to be embedded, which will generate huge volume of data with different formats. Therefore, it is a challenge to address such IoT data heterogeneity and process them together to support decision makers with information of interest. This paper provides a framework to achieve this goal. Our experiment shows that the information obtained from raw IoT data provides situational awareness for the decision makers of smart city in a seamless fashion. |
| Author Keywords |
Internet of things; Smart city; Situation awareness; Big data analytics |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000591565600085 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
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