The Internet of Things: A Survey from the Data-Centric Perspective
Advances in sensor data collection technology, such as pervasive and embedded devices, and RFID Technology have lead to a large number of smart devices which are connected to the net and continuously transmit their data over time. It has been estimated that the number of internet connected devices has overtaken the number of humans on the planet, since 2008. The collection and processing of such data leads to unprecedented challenges in mining and processing such data. Such data needs to be processed in real-time and the processing may be highly distributed in nature. Even in cases, where the data is stored offline, the size of the data is often so large and distributed, that it requires the use of big data analytical tools for processing. In addition, such data is often sensitive, and brings a number of privacy challenges associated
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Published in Managing and Mining Sensor Data, 2012, pages 383-428.
© Managing and Mining Sensor Data 2012, Springer Nature
Aggarwal, C. C., Ashish, N., & Sheth, A. P. (2012). The Internet of Things: A Survey from the Data-Centric Perspective. Managing and Mining Sensor Data, 383-428.