Name
Abstract | ||
|---|---|---|
It has been a long time that the discussions regarding Internet of Things (IoT) have primarily focused on the communicative connectivity and infrastructure, while the data intelligence of IoT has not been paid enough attention to. However, with the growth of heterogeneous devices IoT introduce a pressure of massive amount of heterogeneous data, which makes it very important to explore the methods and tools to strengthen the IoT to intelligently deal with the incremental massive amounts of data. Towards that, this paper presents an IoT edge-based method to enable intelligent IoT entity connectivity for smart data provision, called smart data mobility. The presented method enables the IoT to perceive and learn from the environments, based on which to let the IoT entities interact with each other in a self-evolvable way for data sharing, in responding to the dynamically changing environments. The presented intelligence enablers for IoT can support smart services and digitalized functionalities from different domains and in different purposes, via strengthening the entities' connectivity with self-evolvable interaction relations to support the efficient and smart data exchanging. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3109761.3109789 | PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND MACHINE LEARNING (IML'17) |
Keywords | Field | DocType |
Internet of Things, Data sharing, Big data, Machine learning, Artificial neural network | Information system,Smart environment,Computer science,Internet of Things,Data sharing,Computer network,Human–computer interaction,Smart data,Artificial neural network,Big data | Conference |
Citations | PageRank | References |
1 | 0.35 | 19 |
Authors | ||
1 | ||