The Internet of Things-Based Technologies

2021 ◽  
pp. 37-65
Author(s):  
Pradeep Kumar Garg
Keyword(s):  
Remote Sensing ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Network Connectivity ◽  
Transportation Systems ◽  
The Internet ◽  
Computational Techniques ◽  
Advantages And Disadvantages ◽  
The Internet Of Things ◽  
Share Information

The internet of things (IoT) is the network of physical objects—devices, vehicles, buildings, and other objects—embedded with software, electronic devices, sensors, and network connectivity that enable these objects to collect and share information or data. Its applications include smart homes, healthcare, industries, transportation systems, logistics, and energy. Building an IoT real-time-based application involves the proper selection of combination of sensors, technology, networks, and communication modules, supported with the concepts of data processing, remote sensing, cloud computing, etc. This chapter highlights advantages and disadvantages IoT and various techniques, such as computer vision, remote sensing, artificial intelligence, cloud computing, big data, ubiquitous computing, which are widely used in various applications. Many new IoT-based applications will evolve, as new devices, sensors, chips, and computational techniques are developed.

scholarly journals DETERMINING THE ROLE OF BIG DATA IN DECISION-MAKING IN THE ECONOMY AND FINANCE

2020 ◽  
Author(s):  
Kateryna Nikitenko ◽  
◽  
Hanna Zhosan ◽  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Digital Technologies ◽  
Digital Economy ◽  
Cloud Services ◽  
Modern Trend ◽  
The Internet ◽  
Advantages And Disadvantages ◽  
The Internet Of Things

Consulting agency PricewaterhouseCoopers has identified eight key technologies for the digital economy: the Internet of Things and artificial intelligence - the foundation for a new generation of digital resources; robotics, drones and 3D printers - devices that help transfer the capabilities of a computer to the material world; virtual reality is also augmented - technologies that combine the physical and digital worlds; blockchain and cloud computing - a new approach to basic business accounting operations. Analysis of recent research and publications. The topic of big data is still controversial, although it is being studied by specialists in various fields (economics, information technology, politics, and others). The influence of big data on social processes and business organization, in particular, was studied by Bill Franks, Victor Mayer-Schonberger, Kenneth Kukier, Eric Siegel, John Foreman and others. Publicistic materials prevail among domestic sources, but there is a lack of fundamental works in this direction. Purpose of the article. explore the essence and practical application of revolutionary digital technologies - cloud computing, big data and the Internet of things. The article identifies the advantages and disadvantages of cloud technologies, forms a model of cloud services, discusses technologies for working with big data, analyzes the results of a Tech Pro Research survey on the use of big data, and builds a technological ecosystem of the Internet of Things. Digitization is already a reality, and the penetration of the Internet and digital technologies into traditional industries has become one of the main trends in recent years and is taking place on a global scale, which allows us to talk about the digital transformation of all sectors of the economy, social life and the formation of a new economic structure - the digital economy. The practical use of digital economy technologies is a modern trend in the socio-economic life of a modern state, actively influences consumer behavior, manifests itself in mobility and the desire of companies for continuous improvement.

Open Issues and Security Challenges of Data Communication Channels in Distributed Internet of Things (IoT): A Survey

2018 ◽  
Vol 3 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Ernest Ezema ◽  
Azizol Abdullah ◽  
Nor Fazlida Binti Mohd
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Industrial Revolution ◽  
Security And Privacy ◽  
The Internet ◽  
Ongoing Research ◽  
Advantages And Disadvantages ◽  
Exchange Information ◽  
The Internet Of Things ◽  
Open Issues

The concept of the Internet of Things (IoT) has evolved over time. The introduction of the Internet of Things and Services into the manufacturing environment has ushered in a fourth industrial revolution: Industry 4.0. It is no doubt that the world is undergoing constant transformations that somehow change the trajectory and history of humanity. We can illustrate this with the first and second industrial revolutions and the information revolution. IoT is a paradigm based on the internet that comprises many interconnected technologies like RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actor Networks) to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. The IoT services can have centralized or distributed architecture. The centralized approach provides is where central entities acquire, process, and provide information while the distributed architectures, is where entities at the edge of the network exchange information and collaborate with each other in a dynamic way. To understand the two approaches, it is necessary to know its advantages and disadvantages especially in terms of security and privacy issues. This paper shows that the distributed approach has various challenges that need to be solved. But also, various interesting properties and strengths. In this paper we present the main research challenges and the existing solutions in the field of IoT security, identifying open issues, the industrial revolution and suggesting some hints for future research.

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

scholarly journals Research of long radius technology for implementation of solutions of the Іnternet of things

Connectivity ◽  
2020 ◽  
Vol 148 (6) ◽  
Author(s):  
S. A. Zhezhkun ◽  
◽  
L. B. Veksler ◽  
S. M. Brezitsʹkyy ◽  
B. O. Tarasyuk
Keyword(s):  
Internet Of Things ◽  
Third Party ◽  
Security And Privacy ◽  
The Internet ◽  
Daily Lives ◽  
Advantages And Disadvantages ◽  
Iot Applications ◽  
Security Properties ◽  
Technical Features ◽  
The Internet Of Things

This article focuses on the analysis of promising technologies for long-range traffic transmission for the implementation of the Internet of Things. The result of the review of technical features of technologies, their advantages and disadvantages is given. A comparative analysis was performed. An analysis is made that in the future heterogeneous structures based on the integration of many used radio technologies will play a crucial role in the implementation of fifth generation networks and systems. The Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. Consequently, a wide variety of IoT applications have been developed and deployed using different IoT frameworks. An IoT framework is a set of guiding rules, protocols, and standards which simplify the implementation of IoT applications. The success of these applications mainly depends on the ecosystem characteristics of the IoT framework, with the emphasis on the security mechanisms employed in it, where issues related to security and privacy are pivotal. In this paper, we survey the security of the main IoT frameworks, a total of 8 frameworks are considered. For each framework, we clarify the proposed architecture, the essentials of developing third-party smart apps, the compatible hardware, and the security features. Comparing security architectures shows that the same standards used for securing communications, whereas different methodologies followed for providing other security properties.

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

scholarly journals Ownership of personal data in the Internet of Things

2019 ◽  
Author(s):  
Vaclav Janecek
Keyword(s):  
Internet Of Things ◽  
Personal Information ◽  
Personal Data ◽  
The Internet ◽  
Eu Law ◽  
Top Down ◽  
Advantages And Disadvantages ◽  
Policy Debates ◽  
Future Work ◽  
The Internet Of Things

This article analyses, defines, and refines the concepts of ownership and personal data to explore their compatibility in the context of EU law. It critically examines the traditional dividing line between personal and non-personal data and argues for a strict conceptual separation of personal data from personal information. The article also considers whether, and to what extent, the concept of ownership can be applied to personal data in the context of the Internet of Things (IoT). This consideration is framed around two main approaches shaping all ownership theories: a bottom-up and top-down approach. Via these dual lenses, the article reviews existing debates relating to four elements supporting introduction of ownership of personal data, namely the elements of control, protection, valuation, and allocation of personal data. It then explores the explanatory advantages and disadvantages of the two approaches in relation to each of these elements as well as to ownership of personal data in IoT at large. Lastly, the article outlines a revised approach to ownership of personal data in IoT that may serve as a blueprint for future work in this area and inform regulatory and policy debates.

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