Fog Node Planning With Stochastic Sensor Traffic in Dynamic Industrial Environment

Shao, Menghan; Liu, Jiayi; Yang, Qinghai; Shen, Ba-Zhong; Wu, Minai

doi:10.1109/tii.2022.3227634

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…The solutions for fog computing from the specialized literature that are analyzed in different review or survey papers [ 13 , 17 , 18 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ] specify that either they are presented at an abstract level or they are solutions for specific applications. An essential advantage of the proposed solution, which distinguishes it from the solutions presented in the specialized literature, is customizability, because it allows the instantiation of objects and their interconnection to implement specific solutions.…”

Section: Discussionmentioning

confidence: 99%

“…The main solutions for fog computing from the specialized literature that are analyzed in different reviews or survey papers [ 13 , 17 , 18 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ] present the high-level parts of the fog nodes, such as security, the task scheduling, or resource scheduling when resources are limited; these papers are not focused on how data are processed within fog computing.…”

Section: Related Workmentioning

confidence: 99%

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A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

Ungurean,

Gaitan

2023

Sensors

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The use of the Internet of Things (IoT) technologies and principles in industrial environments is known as the Industrial Internet of Things (IIoT). The IIoT concept aims to integrate various industrial devices, sensors, and actuators for collection, storage, monitoring, and process automation. Due to the complexity of IIoT environments, there is no one-size-fits-all solution. The main challenges in developing an IIoT solution are represented by the diversity of sensors and devices, connectivity, edge/fog computing, and security. This paper proposes a distributed and customized IioT (Industrial Internet of Things) framework for the interaction of things from the industrial environment. This framework is distributed on the fog nodes of the IIoT architecture proposed, and it will have the possibility to interconnect local things (with low latency) or global things (with a latency generated by the Internet network). To demonstrate the functionality of the proposed framework, it is included in the fog nodes presented in other paper. These fog nodes allow the integration of CANOpen networks into an IioT architecture. The most important advantages of the proposed architecture are its customizability and the fact that it allows decision operations to be carried out at the edge of the network to eliminate latency due to the Internet.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

Ungurean,

Gaitan

2023

Sensors

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Integrated energy system planning for a heavy equipment manufacturing industrial park

Chen,

Cui,

et al. 2024

Front. Energy Res.

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This paper intends to provide key insights to the manufacturing industrial park designers for selecting the typical days of electric load and planning the resources for energy-producing infrastructure. First, a hybrid time-series model of energy-consuming equipment based on the autoregressive integral moving average model (ARIMA) and temporal convolutional network (TCN) is generated. According to this model, the energy consumption (EC) curve of large equipment in the industrial park can be depicted. Moreover, the present study designed a TLSM-IPML (typical load stratification method for industrial parks with manufacturing load) algorithm based on the typical day-selected method. The data clustering method is utilized to analyze the energy usage characteristics. Furthermore, an energy usage-based planning model is proposed, network constraints are considered, and a multi-optional method is designed to solve the problem. Finally, case studies validate the superior performance of TLSM-IPML in analyzing the characteristics of energy consumption and planning the model in reducing MES (manufacturing industrial factory integrated energy system) economic costs.

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Fog Node Planning With Stochastic Sensor Traffic in Dynamic Industrial Environment

Cited by 2 publications

References 34 publications

A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

Integrated energy system planning for a heavy equipment manufacturing industrial park

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