scholarly journals Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7707
Author(s):  
Fábio Henrique Cabrini ◽  
Filippo Valiante Valiante Filho ◽  
Pedro Rito ◽  
Albérico Barros Barros Filho ◽  
Susana Sargento ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Industrial Internet Of Things ◽  
Global Industry ◽  
Operating Modes ◽  
City Environment ◽  
Iot Platform ◽  
Industrial Internet ◽  
Living Lab ◽  
And Performance

The Industrial Internet of Things (IIoT) is one of the most demanding IoT applications. The insertion of industries in the context of smart cities and other smart environments, allied with new communication technologies such as 5G, brings a new horizon of possibilities and new requirements. These requirements include low latency, the support of a massive quantity of devices and data, and the need to support horizontal communications between devices at the edge level. To make this feasible, it is necessary to establish an IIoT-to-cloud continuum distributing federated brokers across the infrastructure and providing scalability and interoperability. To attend this type of application, we present the Helix Multi-layered IoT platform and its operating modes. We report and discuss its real-world deployment in the Aveiro Tech City Living Lab in Aveiro, Portugal with functional and performance tests. We tested device-to-device communication across edge and core layers and also interconnected the infrastructure with one in São Paulo, Brazil, replicating the use of a global industry. The successful deployment validates the use of a Helix Multi-layered IoT platform as a suitable backend platform for IIoT applications capable of establishing the IIoT-to-cloud continuum. It also helps for the deployment of other applications in such a domain.

Dynamic pricing in industrial internet of things: Blockchain application for energy management in smart cities

2020 ◽  
Vol 55 ◽  
pp. 102615 ◽  
Author(s):  
Hasan Ali Khattak ◽  
Komal Tehreem ◽  
Ahmad Almogren ◽  
Zoobia Ameer ◽  
Ikram Ud Din ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Management ◽  
Dynamic Pricing ◽  
Smart Cities ◽  
Industrial Internet Of Things ◽  
Industrial Internet

How Can Industrial Internet of Things (IIoT) Improve Enterprise Productivity?

2020 ◽  
pp. 112-133
Author(s):  
Erdinç Koç
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Detailed Knowledge ◽  
Healthcare Industry ◽  
Industrial Internet Of Things ◽  
Time Consumption ◽  
Industrial Internet ◽  
Smart Cars ◽  
Industrial Part

This chapter gives brief information about internet of things (IoT) and then detailed knowledge of industrial internet of things (IIoT). Internet of things applications can be seen in different areas, such as smart cars, smart homes, smart cities, agriculture, healthcare, industry, etc. This study focuses on the industrial part. Industrial internet of things (IIoT) means internet of things (IoT) applications for industrial usage. IIoT give a chance to enterprise for tracking supply chains, monitoring production line operations, and real-time consumption of energy, managing stock, and transportation decisions. This study used case study method for developing theory about IIoT's contribution to enterprise productivity. IIoT applications can be adapted to which operations of the enterprise, and how it will contribute to enterprise productivity is explained in this chapter. The chapter discusses the projects that are within the vision of IIoT but not yet implemented and concludes with suggestions for future studies.

Industrial Internet of Things Security enhanced with Deep Learning Approaches for Smart Cities

2020 ◽  
pp. 1-1
Author(s):  
Naercio Magaia ◽  
Ramon Fonseca ◽  
Khan Muhammad ◽  
Afonso H. Fontes N. Segundo ◽  
Aloisio V. Lira Neto ◽  
...  
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Smart Cities ◽  
Learning Approaches ◽  
Industrial Internet Of Things ◽  
Industrial Internet

Blockchain and the Industrial Internet of Things

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nils Siegfried ◽  
Tobias Rosenthal ◽  
Alexander Benlian
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Content Type ◽  
Blockchain Technology ◽  
Distributed Ledger ◽  
Industrial Internet ◽  
Mapping Process ◽  
System Requirements ◽  
And Performance ◽  
Practical Implications

Purpose The purpose of this paper is to investigate the suitability of Blockchain technology for applications in the Industrial Internet of Things (IIOT). It provides a taxonomy of system requirements for such applications and maps these requirements against the Blockchain’s technological idiosyncrasies. Design/methodology/approach A requirement taxonomy is built in an iterative process based on a descriptive literature review. In total, 223 studies have been screened leading to a relevant sample of 48 publications that were analyzed in detail regarding posed system requirements. Subsequently, Blockchain’s capabilities are discussed for each requirement dimension. Findings The paper presents a taxonomy of six requirement dimensions. In the mapping process, areas of greater fit (e.g., reliability, nonrepudiation and adaptability) were identified. However, there are also several constraints (e.g., scalability, confidentiality and performance) that limit the use of Blockchain. Research limitations/implications Due to the limited amount of studies and the vibrant development of Blockchain technology, the results may benefit from practical evidence. Researchers are encouraged to validate the results in qualitative practitioner interviews. Focusing on literature-backed public Blockchain, idiosyncrasies of private implementations and specific distributed ledger technologies may be discussed in future studies. Practical implications The paper includes use cases for Blockchain in manufacturing and IIOT applications. Potential caveats for practitioners are presented. Originality/value This paper addresses the need to understand to which degree Blockchain is a suitable technology in manufacturing, especially in context of the IIOT. It contributes a requirement taxonomy which serves as the foundation for a systematic fit assessment.

A reliability and performance GSPN-Based model for anti-collision RFID algorithms under noisy channels in industrial internet of things

2021 ◽  
Vol 125 ◽  
pp. 103381
Author(s):  
Israel Eduardo de Barros Filho ◽  
Ivanovitch Silva ◽  
Daniel G. Costa ◽  
Carlos M.D. Viegas ◽  
Paolo Ferrari
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Noisy Channels ◽  
Industrial Internet ◽  
And Performance

scholarly journals Industrial Internet of Things for Mobile Phone Shell Intelligent Detection in Smart Cities

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tianyi Zheng ◽  
Bao Peng ◽  
Guofu Zhou
Keyword(s):  
Internet Of Things ◽  
Mobile Phone ◽  
Defect Detection ◽  
Smart Cities ◽  
Detection Methods ◽  
Industrial Internet Of Things ◽  
Data Set ◽  
Open Operation ◽  
Industrial Internet ◽  
Intelligent Detection

Industrial Internet of Things is the core field of smart city. And intelligent detection is an important application field of industrial Internet of Things. Demand of the industrial is particularly urgent. In particular, the defect detection of mobile phone shells (MPS) has always been a common problem for famous mobile phone companies. A compression-free defect detection method (CFDDM) for MPS based on machine vision is proposed in this paper. Firstly, affine transformation is utilized to solve the angle deviation of MPS in different images. Then, edge detection, binarization, and open operation are combined to highlight the edge region based on the results of angle adjustment. It is convenient for region of interest (ROI) extraction and clipping. Finally, the method of gray histogram contrasting is utilized for defect detection according to the results of ROI clipping. And the detection results are obtained. In this paper, MPS data set is utilized for many tests. The results show that the proposed method can effectively detect whether there are defects in MPS data set without image compression. The recognition accuracy is 100%. The recognition time of a single image is about 4.56 s, which is better than other defect detection methods.

Industrial Internet of Things

2021 ◽  
pp. 133-148
Author(s):  
Sam Goundar ◽  
Akashdeep Bhardwaj ◽  
Safiya Shameeza Nur ◽  
Shonal S. Kumar ◽  
Rajneet Harish
Keyword(s):  
Internet Of Things ◽  
Value Chain ◽  
Smart Cities ◽  
Value Added ◽  
Traffic Patterns ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
The Difference ◽  
Human Operators ◽  
And Control

This chapter focused on the importance and influence of industrial internet of things (IIoT) and the way industries operate around the world and the value added for society by the internet-connected technologies. Industry 4.0 and internet of things (IoT)-enabled systems where communication between products, systems, and machinery are used to improve manufacturing efficiency. Human operators' intervention and interaction is significantly reduced by connecting machines and creating intelligent networks along the entire value chain that can communicate and control each other autonomously. The difference between IoT and IIoT is that where consumer IoT often focuses on convenience for individual consumers, industrial IoT is strongly focused on improving the efficiency, safety, and productivity of operations with a focus on return on investment. The possibilities with IIoT is unlimited, for example, smarter and more efficient factories, greener energy generation, self-regulating buildings that optimize energy consumption, smart cities that can adjust traffic patterns to respond to congestion.

A novel and secure attacks detection framework for smart cities industrial internet of things

2020 ◽  
Vol 61 ◽  
pp. 102343 ◽  
Author(s):  
Kashif Naseer Qureshi ◽  
Shahid Saeed Rana ◽  
Awais Ahmed ◽  
Gwanggil Jeon
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Industrial Internet Of Things ◽  
Industrial Internet
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