A Comprehensive Survey on the Internet of Things with the Industrial Marketplace

Salih, Kazhan Othman Mohammed; Rashid, Tarik A.; Radovanović, Dalibor; Bačanin, Nebojša

doi:10.3390/s22030730

Cited by 73 publications

(34 citation statements)

References 96 publications

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“…The Internet of Things works because of fundamental components such as devices, sensors, connectivity, data processing, and last but not least, interfaces. Thus, devices or sensors support the process of collecting environmental data, which can have various complexities [10]. They have a reduced capacity to store data, to pass data on, or to calculate, so that they have the ability to collect data, which is the final stage in the information process.…”

Section: Related Work 21 Iot Conceptualizationmentioning

confidence: 99%

Analysis and Estimation of Economic Influence of IoT and Telecommunication in Regional Media Based on Evolution and Electronic Markets in Romania

Nistor

Zadobrischi

2022

Telecom

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The interconnection of devices, intended to collect and transmit data via the Internet, is called the Internet of Things (IoT). This technology has the potential to revolutionize both the economic and industrial sectors, especially in terms of data confidentiality and information security. New media, with a merger between those two, have increasingly replaced traditional media, but many researchers characterize them as two distinct but interconnected types of media. From the traditional media, with its technological evolution, the IoT has supported the development of the media through the emergence of applications, websites, and social networks designed to spread information worldwide. This research focuses on how the IoT has the ability to influence economic growth by trying to determine the impact of the IoT through theories and the evolution of economic growth. Thus, the concept of the IoT is interdependent on information and communications technology and, from an economic point of view, is correlated with productivity. In addition, the processes that have an impact on the media are those of an economic nature, all of which are interconnected with progress, innovation, and the promotion of goods and services. At the same time, this paper aims to determine the correlation between IoT and the economy, with a focus on the media, which has the main result of the development of new businesses. Thus, a bibliometric analysis of the scientific papers on the Web of Science platform regarding the IoT field was performed, in order to identify the current state of knowledge in this field. The results of this analysis highlighted that both the IoT and the economy are shaped by innovation, opportunities, and development.

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Section: Related Work 21 Iot Conceptualizationmentioning

confidence: 99%

Analysis and Estimation of Economic Influence of IoT and Telecommunication in Regional Media Based on Evolution and Electronic Markets in Romania

Nistor

Zadobrischi

2022

Telecom

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“…The survey in [16] provides an in-depth discussion on a variety of topics connected to the Internet of Things, including architecture, supporting technologies, issues, and applications. Furthermore, the study organizes the link between Industry 4 and IIoT and proposes an IIoT architecture based on this relationship: data, application, security, and services.…”

Section: B Related Work and Contributionmentioning

confidence: 99%

Industrial Internet of Things: Requirements, Architecture, Challenges, and Future Research Directions

2022

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Industry 4.0 relates to the digital revolution of manufacturing and other markets such as retail, distribution, oil and gas, and infrastructure. On the other hand, the Industrial Internet of Things (IIoT) is a technological advancement that leads to Industry 4.0 implementation by boosting the manufacturing sector's productivity and economic impact. IIoT provides the ability to provide global connectivity between components in different locations. The manufacturing sector has had various difficulties implementing IIoT, primarily due to IoT characteristics. We offer an in-depth review of Industry 4.0 and IIoT in this survey. The primary motivation behind this survey is to introduce the most recent advancements related to Industry 4.0 and IIoT and to address the existing limitations. First, we provide a novel taxonomy of IIoT challenges that includes aspects of each challenge, such as the terminology and approaches utilized to solve these challenges. Besides IIoT challenges, this survey provides an in-depth demonstration of the many concepts related to IIoT, such as architecture and use cases. Second, the study provides a comprehensive review to study the state-of-the-art of Industry 4 in terms of concepts, requirements and supporting technology. In addition, we discuss the correlation between enabling technology and technical requirements in detail. Finally, our survey targets deep learning, edge computing, and big data as key techniques for future IIoT. Furthermore, the presented technique is thoroughly examined to present a different method for future adoption. Additionally, to the proposed technique, we propose a new architecture for the future of IIoT based on three primary techniques.

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“…IoT sensors collect patient data, which is then analyzed using machine learning techniques [15]. For patients, it is simple to access and use sensors that are built into their health monitoring devices [16,17]. A doctor, for example, can monitor a patient's heart rate from their office using sensors that periodically collect data [16,18]; thus, doctors can keep tabs on and communicate with their patients while they are away from the hospital.…”

Section: Iot Healthcare Technologymentioning

confidence: 99%

Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation

Aladdin¹,

Abdullah

Salih

et al. 2022

Preprint

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This discusses a case study on Fitness Dependent Optimizer or so-called FDO and adapting its parameters to the Internet of Things (IoT) healthcare. The reproductive way is sparked by the bee swarm and the collaborative decision-making of FDO. As opposed to the honey bee or artificial bee colony algorithms, this algorithm has no connection to them. In FDO, the search agent's position is updated using speed or velocity, but it's done differently. It creates weights based on the fitness function value of the problem, which assists lead the agents through the exploration and exploitation processes. Other algorithms are evaluated and compared to FDO as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in the original work. The key current algorithms—The Salp-Swarm Algorithms (SSA), Dragonfly Algorithm (DA), and Whale Optimization Algorithm (WOA) have been evaluated against FDO in terms of their results. Using these FDO experimental findings, we may conclude that FDO outperforms the other techniques stated. There are two primary goals for this chapter: first, the implementation of FDO will be shown step-by-step so that readers can better comprehend the algorithm method and apply FDO to solve real-world applications quickly. The second issue deals with how to tweak the FDO settings to make the meta-heuristic evolutionary algorithm better in the IoT health service system at evaluating big quantities of information. Ultimately, The target of this chapter's enhancement is to adapt the IoT healthcare framework based on FDO to spawn effective IoT healthcare applications for reasoning out real-world optimization, aggregation, prediction, segmentation, and other technological problems.

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A Comprehensive Survey on the Internet of Things with the Industrial Marketplace

Cited by 73 publications

References 96 publications

Analysis and Estimation of Economic Influence of IoT and Telecommunication in Regional Media Based on Evolution and Electronic Markets in Romania

Analysis and Estimation of Economic Influence of IoT and Telecommunication in Regional Media Based on Evolution and Electronic Markets in Romania

Industrial Internet of Things: Requirements, Architecture, Challenges, and Future Research Directions

Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation

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