Emergence of IoT and Big Data

Singh, Gurinder; Garg, Vikas; Tiwari, Pooja; Goel, Richa

doi:10.4018/978-1-7998-2101-4.ch003

Cited by 13 publications

(1 citation statement)

References 15 publications

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“…Big data is not simply the data big in size that requires big storage; in fact, it is one of its major properties. It is a complex, unstructured, rapidly generating data huge in volume [52]. Hrehova [53] has presented some definitions of big data from various sources.…”

Section: Big Datamentioning

confidence: 99%

The State-of-the-Art in Air Pollution Monitoring and Forecasting Systems Using IoT, Big Data, and Machine Learning

Gangwar

Singh

Mishra

et al. 2023

Wireless Pers Commun

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The quality of air is closely linked with the life quality of humans, plantations, and wildlife. It needs to be monitored and preserved continuously. Transportations, industries, construction sites, generators, fireworks, and waste burning have a major percentage in degrading the air quality. These sources are required to be used in a safe and controlled manner. Using traditional laboratory analysis or installing bulk and expensive models every few miles is no longer efficient. Smart devices are needed for collecting and analyzing air data. The quality of air depends on various factors, including location, traffic, and time. Recent researches are using machine learning algorithms, big data technologies, and the Internet of Things to propose a stable and efficient model for the stated purpose. This review paper focuses on studying and compiling recent research in this field and emphasizes the Data sources, Monitoring, and Forecasting models. The main objective of this paper is to provide the astuteness of the researches happening to improve the various aspects of air polluting models. Further, it casts light on the various research issues and challenges also.

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Section: Big Datamentioning

confidence: 99%