Advanced metameric dimension framework for heterogeneous industrial Internet of things

Khan, Mohammad Ayoub

doi:10.1111/coin.12378

Cited by 12 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors propose a HetIoT framework for real-time monitoring of the machines' metameric dimension, resulting in higher precision, recall, F1-score, and purity. The proposed framework has the potential to play a crucial role in industrial management [8].…”

Section: Literature Surveymentioning

confidence: 99%

IIoT‐Based Intelligent Process Control for Crude Oil Separation: Investigating the Impact of Model‐Based Control and Genetic Algorithms

et al. 2023

View full text Add to dashboard Cite

Integrating the Internet of Things (IIoT) with intelligent process control can improve the performance and efficiency of various industrial processes. However, there is a need for continued research on integrating IIoT-based control with advanced techniques such as model-based control and genetic algorithms to fully realize these benefits. This study investigates the impact of such integration on the performance of crude oil separation processes. To this end, we implemented IIoT-based intelligent process control with model-based control and genetic algorithms using specific IIoT devices and platforms, such as SCADAPACK 535E and FactoryTalk. The results of our implementation show that this technique can significantly improve the quality of crude oil separation, with an increase from 95% to 99% over two months of production. Overall, our findings suggest that integrating IIoT-based intelligent process control with advanced techniques such as model-based control and genetic algorithms can significantly improve the performance of crude oil separation processes and may have similar benefits in other industrial processes. Further research is needed to fully understand these techniques’ potential in different contexts and identify best practices for their implementation.

show abstract

Section: Literature Surveymentioning

confidence: 99%

IIoT‐Based Intelligent Process Control for Crude Oil Separation: Investigating the Impact of Model‐Based Control and Genetic Algorithms

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Internet of Things (IoT) technology has become one of the promising setups for industrial, production, supply chain, and manufacturing ecosystems [28]. Various experts on IoT analyze the billion-dollar impact of internet things in the industrial environment [29].…”

Section: An Integration Of Internet Of Things With Blockchain Technologymentioning

confidence: 99%

Internet of Things (IoT) Security With Blockchain Technology: A State-of-the-Art Review

et al. 2022

View full text Add to dashboard Cite

With the rapid enhancement in the design and development of the Internet of Things creates a new research interest in the adaptation in industrial domains. It is due to the impact of distributed emerging technology and topology of industrial Internet of Things and the security-related resource constraints of industrial 5.0. This conducts new paradigm along with critical challenges to the existing information preservation, node transactions and communication, transmission, trust and privacy, and security protection related problems. These critical aspects pose serious limitations and issues for the industry to provide industrial data integrity, information exchange reliability, provenance, and trustworthiness for the overall activities and service delivery prospects. In addition, the intersection of blockchain and industrial IoT has gained more consideration and research interest. However, there is an emerging limitation between the inadequate performance of industrial IoT and connected nodes, and the high resource requirement of permissioned private blockchain ledger has not yet been tackled with the complete solution. Due to the introductions of NuCypher Re-Encryption infrastructure, hashing tree and allocation, and deployment of blockchain proof-of-work required more computational power as well. This paper is divided into three different folds; first, we studied various related literature of blockchain-enabling industrial Internet of Things and its critical implementation challenging aspects along with the solution. Secondly, we proposed a blockchain hyperledger sawtooth-enabled framework. This framework provides a secure and trusted execution environment, in which service delivery mechanisms and protocols are designed with an acknowledgment, including the immutable ledger storage security, along with the peer-topeer network on-chain and off-chain communication of industrial activities. Thirdly, we design pseudochain codes and consensus protocols to provide smooth industrial node streamline transactions and broadcast content. The proposed multiple proof-of-work investigated and simulated using Hyperledger Sawtooth-enabled docker for testing to exchange information between connected devices of industrial Internet of Things within the limited usage of resource constraints.

show abstract

“…For more efficiency and capability, advanced computing technologies are incorporated into many commercial industries. As such, IIoT encourages a future of interconnected machines that connect and communicate with each other for automation and is one such technology that has been gaining significant attraction in recent years [2]. Since IoT is now a more widely used term in the industry, specialised services are now emerging in this field with an emphasis on precision and effectiveness [3].…”

Section: Introductionmentioning

confidence: 99%

Robust graph‐based localization for industrial Internet of things in the presence of flipping ambiguities

Haq

Khalil

Almutiry

et al. 2023

CAAI Trans on Intel Tech

View full text Add to dashboard Cite

Localisation of machines in harsh Industrial Internet of Things (IIoT) environment is necessary for various applications. Therefore, a novel localisation algorithm is proposed for noisy range measurements in IIoT networks. The position of an unknown machine device in the network is estimated using the relative distances between blind machines (BMs) and anchor machines (AMs). Moreover, a more practical and challenging scenario with the erroneous position of AM is considered, which brings additional uncertainty to the final position estimation. Therefore, the AMs selection algorithm for the localisation of BMs in the IIoT network is introduced. Only those AMs will participate in the localisation process, which increases the accuracy of the final location estimate. Then, the closed‐form expression of the proposed greedy successive anchorization process is derived, which prevents possible local convergence, reduces computation, and achieves Cramér‐Rao lower bound accuracy for white Gaussian measurement noise. The results are compared with the state‐of‐the‐art and verified through numerous simulations.

show abstract

Advanced metameric dimension framework for heterogeneous industrial Internet of things

Cited by 12 publications

References 33 publications

IIoT‐Based Intelligent Process Control for Crude Oil Separation: Investigating the Impact of Model‐Based Control and Genetic Algorithms

IIoT‐Based Intelligent Process Control for Crude Oil Separation: Investigating the Impact of Model‐Based Control and Genetic Algorithms

Internet of Things (IoT) Security With Blockchain Technology: A State-of-the-Art Review

Robust graph‐based localization for industrial Internet of things in the presence of flipping ambiguities

Contact Info

Product

Resources

About