Results 211 to 220 of about 21,750 (271)

Overview of IoT and IIoT

2020
You looked at the definition of IoT in Chapter 1. In this chapter, I want to expand on it. What makes the concept of the Internet of Things work are the twin abilities of using small scale sensors and motors, and controlling their input and output through programming interfaces. The crux of IoT is the ability to remotely monitor and control the devices.
openaire   +1 more source

Efficient Fine-Grained Data Sharing Based on Proxy Re-Encryption in IIoT

IEEE Transactions on Dependable and Secure Computing
With the development of the industrial Internet of Things (IIoT), the amount of data generated by industrial manufacturing equipment will increase. To reduce the cost of data management while achieving secure data sharing, data owners generally upload ...
Qingyan Zhang, Yujie Fu, Jie Cui, Debiao He, Hong Zhong   +4 more
semanticscholar   +1 more source

Task Offloading via Prioritized Experience-Based Double Dueling DQN in Edge-Assisted IIoT

IEEE Transactions on Mobile Computing
In the Industrial Internet of Things (IIoT), Multi-access Edge Computing (MEC) emerges as a transformative paradigm for managing computation-intensive tasks, where task offloading plays an important role.
J. Chi, Xiaobo Zhou, Fu Xiao, Yuto Lim, Tie Qiu   +4 more
semanticscholar   +1 more source

IT-Security in IIoT-Umgebungen

Zeitschrift für wirtschaftlichen Fabrikbetrieb, 2019
Kurzfassung Vernetzung steht im Zentrum der Smart Factory. Doch der konstante Datenaustausch zwischen den Maschinen muss von Unternehmen entsprechend gesichert werden, um dem Missbrauch und Diebstahl sensibler interner Daten vorzubeugen.
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Explainable and Data-Efficient Deep Learning for Enhanced Attack Detection in IIoT Ecosystem

IEEE Internet of Things Journal
The Industrial Internet of Things (IIoT) is rapidly evolving, and with this evolution, cyber threats have become a significant issue. IIoT networks, despite improving service quality, are uniquely vulnerable to security threats due to their inherent ...
Danish Attique, Wang Hao, Wang Ping, D. Javeed, Prabhat Kumar   +4 more
semanticscholar   +1 more source

Task Offloading Optimization in Digital Twin Assisted MEC-Enabled Air–Ground IIoT 6G Networks

IEEE Transactions on Vehicular Technology
The upcoming 6G paradigm leverages digital twin (DT) to create a virtual replica of network topology, facilitating real-time control in complex environments.
Muhammet Hevesli, A. M. Seid, A. Erbad, Mohamed M. Abdallah   +3 more
semanticscholar   +1 more source

Exploring IIoT and Energy Harvesting Boundaries

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 2019
In this paper it is presented a new wireless sensing network architecture to improve the energy management of battery-less Industrial Internet of Things (IIoT) devices powered by heat. These IIoT devices will help huge energy demanding industries (especially chemical, petrochemical, oil refineries, etc.) to become more environmentally friendly in their
Roger N. Alegret, Raul Aragonés, Joan Oliver, Carles Ferrer 0001   +3 more
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Digital twins in IIoT

2023
Industry is constantly evolving and, as a result of this evolution, the number of products manufactured has increased exponentially, leading to a great competitiveness between companies. This competitiveness, created the need to make the manufacturing process more efficient and sustainable, for this it is necessary to capture the data from the machines
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Cooperative Partial Task Offloading and Resource Allocation for IIoT Based on Decentralized Multiagent Deep Reinforcement Learning

IEEE Internet of Things Journal
Edge computing has become increasingly important to fulfill the diversified Quality-of-Service (QoS) or Quality-of-Experience (QoE) demands for Industrial Internet of Things (IIoT) applications, such as machine condition monitoring, fault diagnosis ...
Fan Zhang, Guangjie Han, Li Liu, Yu Zhang, Yan Peng, C. Li   +5 more
semanticscholar   +1 more source

LsiA3CS: Deep-Reinforcement-Learning-Based Cloud–Edge Collaborative Task Scheduling in Large-Scale IIoT

IEEE Internet of Things Journal
Task scheduling in large-scale Industrial Internet of Things (IIoT) is characterized by the presence of diverse resources and the requirement for efficient and synchronized processing across distributed edge clouds, raising a significant challenge.
Zhiyang Zhang, Fengli Zhang, Zehui Xiong, Kuan Zhang, Dajiang Chen   +4 more
semanticscholar   +1 more source