Theoretical and Practical Aspects of Internet of Things (IoT) Technology

Stupar, Savo; Ćar, Mirha Bičo; Kurtović, Emir; Vico, Grujica

doi:10.1007/978-3-030-46817-0_48

Cited by 7 publications

(2 citation statements)

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“…Various ML techniques are applied to the data captured by these sources for further analysis. It is evident from the literature that ML techniques have successfully been applied for big data analysis in various applications of IoT such as smart traffic [ 67 , 68 ], smart agriculture [ 69 ], smart human activity control [ 70 ], smart weather prediction [ 16 , 71 ], healthcare [ 72 , 73 ], and smart cities [ 19 ]. Big data has been studied in a diverse range of IoT domains.…”

Section: Machine Learning and Big Data Analytics For Iotmentioning

confidence: 99%

A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

et al. 2021

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Section: Machine Learning and Big Data Analytics For Iotmentioning

confidence: 99%

A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

et al. 2021

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“…For further analysis, several machine learning algorithms are used to the data acquired by these sources. ML approaches have been effectively utilized for large data analysis in different IoT applications such as smart traffic [96,97], smart agricultural [98], smart human activity control [99], smart weather prediction [100,101], healthcare [102,103], and smart cities [19], as evidenced by the literature. In a wide range of IoT sectors, big data has been investigated.…”

Section: Big Data Analytics and Machine Learning For Internet Of Thingsmentioning

confidence: 99%

A Systematic Analysis of Internet of Things in Healthcare Applications : A Review

Arora¹,

Singh²

2021

JUSST

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The Internet of Things (IoT) is a network of physical devices, software, and hardware that communicate with one another. As the population ages, healthcare resources become scarce, and medical expenses rise, IoT-based solutions must be adapted to meet these issues in healthcare. To enhance the monitoring efficiency of the IoT-based healthcare system, several studies have been conducted. In this paper, the architecture utilized in the IoT, particularly cloud-integrated systems and security in IoT devices is explored. Factors like accuracy and power consumption are major concerns in the Internet of Things, therefore research projects aimed at enhancing the performance of IoT-based healthcare systems are highlighted. In this work, data management strategies in an IoT-based healthcare system with cloud capabilities are thoroughly examined. The performance of the IoT-based healthcare system is examined, as well as its benefits and drawbacks. Moreover, a comparative analysis is also done on some existing technologies that are utilized in healthcare. It has been observed from past studies that IoT protocol such as 6LoWPAN is mostly utilized in the domain of health care. The majority of research studies are effective in detecting many symptoms and accurately predicting illnesses. The IoT-based healthcare system built specifically for the elderly is an effective way to keep track of their medical concerns. High power consumption, a scarcity of resources, and security concerns major drawbacks of current systems are included in the proposed study.

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