Data Management for the Internet of Things: Architecture, Challenges and Technologies
Ashwitha A1, Latha C A2

1Ashwitha A*, Department of Information Science and Engineering, MSRIT, Bangalore, India.
2Latha C A, Department of Computer Science and Engineering, AMCEC, Bangalore, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 255-262 | Volume-9 Issue-7, May 2020. | Retrieval Number: F4631049620/2020©BEIESP | DOI: 10.35940/ijitee.F4631.059720
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Abstract: A perception that is being enacted by numerous in the world is an ample range of day to day things associated and interfacing with one another across world network economically- “the Internet of Things.” The gadgets around us trigger extensive amounts of data and an endless interaction between these electronic appliances and the Internet produces useful data for analysis and future prediction. These gadgets are often classified as data sources like sensors, end-user devices like displays, databases and even a knowledge source and sink such as Actuator and Smartphone. Internet of Things (IoT) has promised to facilitate ease and enhanced standard of living for users. Data management for IoT takes part during essential function in its efficient activities and has become a key research theme of IOT. This paper brings the representations of IOT architecture, various techniques for data acquisition, collection, pre-processing and visualization 
Keywords: Internet of things, Data supervision, RFID, Sensors.
Scope of the Article: Internet of Things