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Conference Paper IoT Sensor Data Collect Platform
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Authors
Chan-woo Park, Ahyoung Kim, Junwoo Lee
Issue Date
2015-01
Citation
International Conference on Platform Technology and Service (PlatCon) 2015, pp.1-2
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
The Internet of Things (IoT) is posing new challenges and opportunities for data management and analysis techniques. One of the major problems is how to handle an increasing amount of data, with a variety of data types and data sources, in order to meet applicationspecific performance requirements. In this paper, we designed and implemented mobile cloud storage for collecting IoT sensor data with wireless communication function and cloud server for more efficient collect of IoT sensor data. Our platform can store and management all IoT sensor data so public IoT device can select sensor data with various conditions such as sensor type, time-based and location based like integrated mobile cloud storage. With the flood of diverse IoT sensors, much more information can be obtained than from existing smart phones. It will be possible to draw significant number of meaningful information by digitizing it. Thus, how to collect and store enormous information should be considered.
KSP Keywords
Cloud server, Communication function, Data Management, Data type, IoT devices, Location Based, Meaningful information, Mobile cloud storage, Public IoT, Smart Phone, Time Based