The Internet of Things: A Review of Enabled Technologies and Future Challenges

This research article surveys the most recent IoT healthcare system research articles as the integration of IoT models have been extended to healthcare systems, such as health monitoring, fitness routines, and other applications. Extensive research study has been conducted on Internet of Things (IoT) technology to enhance the monitoring efficiency. This research is aimed at investigating the Internet of Things [IoT] architecture with an emphasis on cloud-based applications. The most significant challenges in the Internet of Things [IoT] include different elements such as accuracy and energy consumption, wherein this research is focused on improving the performance of IoT-based medical equipment. In this research, data management techniques for the Internet of Things-based cloud healthcare system are also thoroughly investigated. The performance and limitations of the Internet of Things (IoT) health system are evaluated. The majority of studies are successful in detecting a wide range of markers and correctly predicting illness. The Internet of Things (IoT) health system is being developed as an effective solution to the health concerns of elderly population. The major drawbacks of current systems are their increased energy consumption, reduced availability of resources, and safety concerns resulting from the use of a large number of different pieces of equipment.

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Internet of Nano-Things, Things and Everything: Future Growth Trends

Future Internet ◽

10.3390/fi10080068 ◽

2018 ◽

Vol 10 (8) ◽

pp. 68 ◽

Cited By ~ 32

Author(s):

Mahdi Miraz ◽

Maaruf Ali ◽

Peter Excell ◽

Richard Picking

Keyword(s):

Internet Of Things ◽

The Internet ◽

Growth Trends ◽

Internet Of Everything ◽

Current Trends ◽

Future Challenges ◽

A Priority ◽

Iot Devices ◽

The Internet Of Things ◽

Future Growth

The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified.

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TEACHING INDUSTRY 4.0

SOCIETY INTEGRATION EDUCATION Proceedings of the International Scientific Conference ◽

10.17770/sie2020vol2.4833 ◽

2020 ◽

Vol 2 ◽

pp. 69

Author(s):

Gilberto Marzano ◽

Andris Martinovs

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

Industry 4.0 ◽

Industrial Revolution ◽

Data Access ◽

The Internet ◽

German Industry ◽

Time Data ◽

Future Challenges ◽

The Internet Of Things

Industry 4.0 is a term that was introduced by the German government at the time of the Hannover Fair in 2011 in relation to an initiative brought forward to support German industry in addressing future challenges. It refers to the 4th industrial revolution, in which disruptive digital technologies, such as the Internet of Things (IoT), robotics, virtual reality (VR), and artificial intelligence (AI), are exercising a notable impact on industrial production.Industry 4.0 takes the emphasis on digital technology of recent decades to a whole new level with the help of interconnectivity through the Internet of Things (IoT), real-time data access, and the introduction of cyber-physical systems.This paper focuses on the design of an educational module for higher education mechatronics students. Introducing Industry 4.0 into a mechatronics curriculum will reinforce the integration of student competences in flexible and rapid manufacturing. The module includes notions of machine learning and deep machine learning, which are essential in robotics and behavioral robotics and closely interact with control theory. The results of a pilot training activity in the field are also illustrated and discussed.

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RFID Protocol Design, Optimization, and Security for the Internet of Things

10.1049/pbce112e ◽

2017 ◽

Author(s):

Alex X. Liu ◽

Muhammad Shahzad ◽

Xiulong Liu ◽

Keqiu Li

Keyword(s):

Internet Of Things ◽

Design Optimization ◽

Protocol Design ◽

The Internet ◽

The Internet Of Things ◽

Rfid Protocol

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Multimedia system and database simulation based on internet of things and cloud service platform

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189253 ◽

2020 ◽

pp. 1-12

Author(s):

Zhang Caiqian ◽

Zhang Xincheng

Keyword(s):

Internet Of Things ◽

Cloud Service ◽

Multimedia System ◽

The Internet ◽

Multimedia Database ◽

Cloud Platform ◽

Service Platform ◽

Device Management ◽

Cloud Service Platform ◽

The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

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Review of the Current State and Future Development in Standardising Artificial Lighting

Light & Engineering ◽

10.33383/2019-011 ◽

2019 ◽

pp. 4-44 ◽

Cited By ~ 1

Author(s):

Peter Thorns

Keyword(s):

Internet Of Things ◽

Future Development ◽

Best Practice ◽

The Internet ◽

Artificial Lighting ◽

Current State ◽

Internal Structures ◽

European Regulations ◽

The Internet Of Things

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.

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