Lakshman Narayana, V. and Rao, G. Srinivasa and Gopi, A. Peda and Lakshmi Patibandla, R. S. M. (2022) An Intelligent IoT Framework for Handling Multidimensional Data Generated by IoT Gadgets: Applications and Use Cases. In: Machine Learning for Critical Internet of Medical Things. Springer International Publishing, Cham, pp. 199-228. ISBN 978-3-030-80928-7
10.1007_978-3-030-80928-7_9-citation.bib
Download (2kB)
Abstract
In recent years, a series of real-life problems are being solved by the leading role of sensors and the Internet. Smart towns, smart health structures, smart construction, smart landscapes, and smart transport are all part of the applications. However, the IoT sensor data involves a variety of problems in real time, including dilution of unhygienic sensor data and extraordinary resource costs. In addition to normal clinical practices, information and communications technology (ICT) that enables Internet of Things for the development of mechanisms to control elderly behavior allows geriatrics to detect changes in behavior related to such conditions early on. The data capture layer is a discreet low-cost infrastructure that sums up physical system heterogeneity, while data processing capacity handles the huge amount and semantics of sensed knowledge easily. Details are accessible with wired or wireless Internet access. These create enormous amounts of fresh, organized, unstructured, real-time, and big data. The IoT data is very comprehensive and nuanced, with information on the circumstances and the environment. The IoT will never remain idle, as thousands of Internet articles become information collectors and produce huge data. Today’s bulk of large data consists of IoT devices and grows exponentially per year. The analysis of such data needs innovative IoT techniques and data processing. IoT requires a specific abundance of facts, however, which continuously flow from various objects. Conventional technology is also critical. IoT data are very detailed and nuanced, capable of delivering in real time information on actual events or the environment. A smart IOT system has been developed in this manuscript to handle multidimensional data generated by IOT sensors. The model suggested showed that the accuracy and speed of data handling are high when compared to traditional models and to current models.
Item Type: | Book Section |
---|---|
Subjects: | AC Rearch Cluster |
Depositing User: | Unnamed user with email techsupport@mosys.org |
Date Deposited: | 27 Dec 2023 06:50 |
Last Modified: | 27 Dec 2023 06:50 |
URI: | https://ir.vignan.ac.in/id/eprint/663 |