IoT-Based Techniques for Online M2M-Interactive Itemized Data Registration and Offline Information Traceability in a Digital Manufacturing System

Wu, Zhipeng; Meng, Zhaozong; Gray, J.O.

doi:10.1109/tii.2017.2704613

Cited by 33 publications

(10 citation statements)

References 19 publications

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“…The growing field is improved reappearance scheduled asset of detecting aimed at mud wetness which is ideal is known as smart farming. IoT in Transportation: Traffic congestion, GPS procedure from city vehicle stays a city-wide opinion of the communal transportation structure through the accomplishment of calculating vehicle entrances, transit times and direction cramming arranged an ordinal record of the urban [12] [14].…”

Section: Blockchain and Iot Applicationsmentioning

confidence: 99%

Blockchain for the Security of Internet of Things: A Smart Home use Case using Ethereum

Hossain¹,

Waheed²,

Rahman³

et al. 2020

IJRTE

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Internet of Things (IoT) that has been developed owing toward the merging of various technologies such as instantaneous analytics, machine learning, artificial neural network, product sensors and implanted systems, etc. It also stages a significant part in multiple applications which are a smart city, smart home, agricultural, health monitoring, tourism, transportation, communication, business, education, etc. The security concern associating IoT has to be situated in the direction to attract the research community due to its immensely growing application in our daily life. Since it is light-weight nature, the security mechanism needs changes apart from comprehensive web security. PKI based certificate driven techniques, which in some instances seem not appropriate on the way toward encounter IoT challenges, e.g., as real-time effectiveness, costs, and performance from the security perspective. However, Blockchain has mind-blowing potentials to peer with the IoT aiming to build trust, transparency, and security. Its distinct properties, such as distributed behavior, immutability, and consensus mechanism, can stimulate and improve the rapidly growing IoT system through meaningful integration. We propose to address a practical smart home use case scenario using Ethereum Blockchain to improve IoT security. Public type and smart contract oriented Ethereum Blockchain are adaptable to enhance IoT security remains individual of the contributions that we claim throughout this research work.

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Section: Blockchain and Iot Applicationsmentioning

confidence: 99%

Blockchain for the Security of Internet of Things: A Smart Home use Case using Ethereum

Hossain¹,

Waheed²,

Rahman³

et al. 2020

IJRTE

View full text Add to dashboard Cite

show abstract

“…Moreover, with aspect of CIoT, some of the challenges and issues like: synchronization between different cloud vendors, big data data analytics, object and face detection, intelligent surveillance, Standardizing cloud computing for IoT cloud-based services, balancing the differences in the infrastructure, unreliability in the security mechanisms, handling within different resources and components, are as the result the complexity of employing cloud computing with CIoT [45][46][47][48][49][50][51][52].…”

Section: Research Challenges and Open Issuesmentioning

confidence: 99%

The Application of Cognitive IoT for Smart Manufacturing

Abdurahman*,

Patel

2020

IJITEE

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In recent times, novel paradigms based on cognitive manufacturing services are evolving. This paradigm shift is conveyed by integrating manufacturing assets with the latest and enhanced methods and technologies. However, today’s manufacturing systems are facing various challenges, that is the researcher believed that existing technologies and tools specifically, IoT, existing learning techniques and learning systems, lack enough cognitive based intelligence and cannot achieve the expected enhancements and smart manufacturing developments. In Light of this assessing the advances in manufacturing sectors was the major goal of this work and to identify the cuuent issues and challenches in manufacturing systems being Cognitive and or smart Afterward, we assessed the research challenges and open issues and facilitate knowledge accumulation in efficiently in the applications of Cognitive Internet of Things (CIoT) for smart manufacturing systems.

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“…As shown in Figure 5 , the workflow is as follows: the Thermoformer (M1) produces food packages; the Pickrobot (M2) picks up raw food materials and puts into the packages; the QAS (M3) gathers the quality information of food with five sensors (RGB, 3D, Hyperspectral, Microwave, X-Ray); the printing module (M4) then prints the labels; the sealing and cutting module (M5) seals the packages with printed labels and cuts them into individual food products, and finally; the Packrobot (M6) picks up the products and puts them into output crates for packaging and shipping. All the data of the products and industrial operations are collected and saved into the database by the RFID Traceability module (M7) [ 25 ]. The machines also listen to the line controller (M8) as a coordinator for collaborative operations and emergency handling.…”

Section: Picknpack Practicementioning

confidence: 99%

A Collaboration-Oriented M2M Messaging Mechanism for the Collaborative Automation between Machines in Future Industrial Networks

Meng

Gray

2017

Sensors

Self Cite

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Machine-to-machine (M2M) communication is a key enabling technology for industrial internet of things (IIoT)-empowered industrial networks, where machines communicate with one another for collaborative automation and intelligent optimisation. This new industrial computing paradigm features high-quality connectivity, ubiquitous messaging, and interoperable interactions between machines. However, manufacturing IIoT applications have specificities that distinguish them from many other internet of things (IoT) scenarios in machine communications. By highlighting the key requirements and the major technical gaps of M2M in industrial applications, this article describes a collaboration-oriented M2M (CoM2M) messaging mechanism focusing on flexible connectivity and discovery, ubiquitous messaging, and semantic interoperability that are well suited for the production line-scale interoperability of manufacturing applications. The designs toward machine collaboration and data interoperability at both the communication and semantic level are presented. Then, the application scenarios of the presented methods are illustrated with a proof-of-concept implementation in the PicknPack food packaging line. Eventually, the advantages and some potential issues are discussed based on the PicknPack practice.

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IoT-Based Techniques for Online M2M-Interactive Itemized Data Registration and Offline Information Traceability in a Digital Manufacturing System

Cited by 33 publications

References 19 publications

Blockchain for the Security of Internet of Things: A Smart Home use Case using Ethereum

Blockchain for the Security of Internet of Things: A Smart Home use Case using Ethereum

The Application of Cognitive IoT for Smart Manufacturing

A Collaboration-Oriented M2M Messaging Mechanism for the Collaborative Automation between Machines in Future Industrial Networks

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