• S.S.BOOMIGA
• Dr.V.PRASANNA VENKATESAN

IoT is a concept where Things which are uniquely identifiable or addressable connected to Internet that has the ability to send and receive the data via the network based on standard communication protocols. The number of connected smart things is growing remarkably, and it is anticipated to go beyond 26 billion by 2020.Thus the introduction of IoT results in enormous amount of data. Such data needs to be handled in real-time and the processing may be extremely distributed in nature. The objective paper is to study about the challenges in the IoT data which is generated in great volume, velocity and variety in which traditional processing methods and tools cannot be applied. This paper reviews the main techniques and current research efforts in IoT from data-centric perspectives. This paper includes the study of data processing steps such as data aggregation, data analysis with various data mining and machine learning algorithms and data visualization in IoT. From the study of various research work a data management framework is also presented to show how data is handled in IoT environment. Open research challenges for IoT data management are also discussed.

internet of things, data processing, aggregation, storage,analytics

"A introspective study on data centric view of Internet of things: Challenges and Opportunities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.317-328, July-2018, Available :http://www.jetir.org/papers/JETIR1807293.pdf

"A introspective study on data centric view of Internet of things: Challenges and Opportunities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp317-328, July-2018, Available at : http://www.jetir.org/papers/JETIR1807293.pdf