Data Processing in IoT, Sensor to Cloud: Survey

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dc.contributor.authorSandeep, M.
dc.contributor.authorChandavarkar, B.R.
dc.date.accessioned2026-02-06T06:36:05Z
dc.date.issued2021
dc.description.abstractIoT is connecting Things over the Internet and the realization of the environment through smart things to create a responsive space. Many surveys predicted the growth of IoT devices is going to be around 50 billion and an average of 7 devices per person. IoT has shown promising future with its applications like smart city, connected factories, buildings, roadways, smart health and many more. To make the promise a reality IoT has to overcome many hurdles like scalability, connectivity, architectural, big data, analysis, security, and privacy. In this literature survey, an attempt has been made to identify current challenges faced by IoT implementation and possible solutions, future opportunities, and research openings. Further, the processing of sensed data at IoT device, edge/fog layer, and the cloud is discussed in detail. © 2021 IEEE.
dc.identifier.citation2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021, 2021, Vol., , p. -
dc.identifier.urihttps://doi.org/10.1109/ICCCNT51525.2021.9579976
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/30223
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectCloud computing
dc.subjectDeep Learning
dc.subjectEdge computing
dc.subjectIoT
dc.subjectIoT architecture
dc.subjectIoT data
dc.subjectMachine learning
dc.titleData Processing in IoT, Sensor to Cloud: Survey

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