| 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 | |
| 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. |
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