Industrial Internet of Things and its Applications in Industry 4.0: State of The Art

Malik, Praveen Kumar; Sharma, Rohit; Singh, Rajesh; Gehlot, Anita; Satapathy, Suresh Chandra; Alnumay, Waleed S.; Pelusi, Danilo; Ghosh, Uttam; Nayak, Janmenjoy

doi:10.1016/j.comcom.2020.11.016

Cited by 280 publications

(110 citation statements)

References 46 publications

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“…In the last few decades, the world has witnessed the proliferation of the Internet amongst people, organizations and governments [1,2]. Modern architectures, such as the Internet of things (IoT), Internet of medical things (IoMT), industrial Internet of things (IIoT), Internet of flying things (IoFT), amongst others, unlatch incredible opportunities for the realization of intelligent living and well-being of humanity [3,4].…”

Section: Introductionmentioning

confidence: 99%

A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities

Omolara

Abiodun

Alawida

et al. 2021

Neural Comput & Applic

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Specialized data preparation techniques, ranging from data cleaning, outlier detection, missing value imputation, feature selection (FS), amongst others, are procedures required to get the most out of data and, consequently, get the optimal performance of predictive models for classification tasks. FS is a vital and indispensable technique that enables the model to perform faster, eliminate noisy data, remove redundancy, reduce overfitting, improve precision and increase generalization on testing data. While conventional FS techniques have been leveraged for classification tasks in the past few decades, they fail to optimally reduce the high dimensionality of the feature space of texts, thus breeding inefficient predictive models. Emerging technologies such as the metaheuristics and hyper-heuristics optimization methods provide a new paradigm for FS due to their efficiency in improving the accuracy of classification, computational demands, storage, as well as functioning seamlessly in solving complex optimization problems with less time. However, little details are known on best practices for case-to-case usage of emerging FS methods. The literature continues to be engulfed with clear and unclear findings in leveraging effective methods, which, if not performed accurately, alters precision, real-world-use feasibility, and the predictive model's overall performance. This paper reviews the present state of FS with respect to metaheuristics and hyper-heuristic methods. Through a systematic literature review of over 200 articles, we set out the most recent findings and trends to enlighten analysts, practitioners and researchers in the field of data analytics seeking clarity in understanding and implementing effective FS optimization methods for improved text classification tasks.

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Section: Introductionmentioning

confidence: 99%

A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities

Omolara

Abiodun

Alawida

et al. 2021

Neural Comput & Applic

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“…Malik et al [30] presented a review based on industrial automation, which is spreading rapidly, is combined with internet technology, and is heading towards the age of smart production.…”

Section: Related Workmentioning

confidence: 99%

“…Electronic systems and information technologies have become fully automated with the digital revolution that started when production has become fully automated. Industrial automation, which is spreading rapidly, is combined with internet technology and is heading towards the age of smart production called Industry 4.0 or the 4th Industrial Revolution [30].…”

Section: Smart Industrymentioning

confidence: 99%

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Internet of Things Applications: Opportunities and Threats

Rahmani

Bayramov

Kalejahi

2021

Wireless Pers Commun

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In the century of automation, which is digitized, and more and more technology is used, automatic systems' replacement of old manual systems makes people's lives easier. Nowadays, people have made the Internet an integral part of humans' daily lives unless they are insecure. The Internet of Things (IoT) secures a platform that authorizes devices and sensors to be remotely detected, connected, and controlled over the Internet. Due to the developments in sensor technologies, the production of tiny and low-cost sensors has increased. Many sensors, such as temperature, pressure, vibration, sound, light, can be used in the IoT. As a result of the development of these sensors with new generations, the power of the IoT technology increases, and accordingly, the revolution of IoT applications are developing rapidly. Therefore, their security issues and threats are challenging topics. In this paper, the benefits and open issues, threats, limitations of IoT applications are presented. The assessment shows that the most influential factor for evaluating IoT applications is the cost that is used in 79% of all articles, then the real-time-ness that is used in 64%, and security and error are used in 57% of all reviewed articles.

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“…These operations require the use of advanced communication technologies capable of carrying the data to the analysis, storage and decision devices distributed along the processes. New communication technologies are being introduced in industrial environments to facilitate these operations [3,4]. In fact, network capabilities constitute a key dimension of cyber physical production systems (CPPS) [5], which are at the core of Industry 4.0 [6,7].…”

Section: Introductionmentioning

confidence: 99%

Design and Performance of a XBee 900 MHz Acquisition System Aimed at Industrial Applications

et al. 2021

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Wireless technologies are being introduced in industrial applications since they provide certain benefits, such as the flexibility to modify the layout of the nodes, improving connectivity with monitoring and decision nodes, adapting to mobile devices and reducing or eliminating cabling. However, companies are still reluctant to use them in time-critical applications, and consequently, more research is needed in order to be massively deployed in industrial environments. This paper goes in this direction by presenting a novel wireless acquisition system aimed at industrial applications. This system embeds a low-cost technology, such as XBee, not frequently considered for deterministic applications, for deploying industrial applications that must fulfill certain QoS requirements. The use of XBee 900 MHz modules allows for the use of the 2.4 GHz band for other purposes, such as connecting to cloud services, without causing interferences with critical applications. The system implements a time-slotted media access (TDMA) approach with a timely transmission scheduling of the messages on top of the XBee 900 MHz technology. The paper discusses the details of the acquisition system, including the topology, the nodes involved, the so-called coordinator node and smart measuring nodes, and the design of the frames. Smart measuring nodes are implemented by an original PCB which were specifically designed and manufactured. This board eases the connection of the sensors to the acquisition system. Experimental tests were carried out to validate the presented wireless acquisition system. Its applicability is shown in an industrial scenario for monitoring the positioning of an aeronautical reconfigurable tooling prototype. Both wired and wireless technologies were used to compare the variables monitored. The results proved that the followed approach may be an alternative for monitoring big machinery in indoor industrial environments, becoming especially suitable for acquiring values from sensors located in mobile parts or difficult-to-reach places.

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Industrial Internet of Things and its Applications in Industry 4.0: State of The Art

Cited by 280 publications

References 46 publications

A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities

A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities

Internet of Things Applications: Opportunities and Threats

Design and Performance of a XBee 900 MHz Acquisition System Aimed at Industrial Applications

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