Cross-Domain Fine-Grained Data Usage Control Service for Industrial Wireless Sensor Networks

Wu, Jun; Dong, Mianxiong; Ota, Kaoru; Tariq, Muhammad; Guo, Lei

doi:10.1109/access.2015.2504541

Cited by 23 publications

(10 citation statements)

References 23 publications

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“…X. Liu studied fuzzy-set theory-based optimal robust design for permanent magnet linear motor position tracking control [27]. Wu researched cross-domain grain data usage control services for industrial wireless sensor networks [28]. Zhao studied fuzzy logic-based coordinated control of a battery energy storage system and a distributed generator for microgrids [29].…”

Section: Extended Fuzzy Adaptive Event Trigger Compensationmentioning

confidence: 99%

Second Order Integral Fuzzy Logic Control Based Rocket Tracking Control

Iswanto

Ahmad

2021

jrc

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Fuzzy logic is a logic with a degree of vulnerability ranging from 0 to 1. Fuzzy logic is used to convert a quantity into language. It is used as a control system because it is a versatile and simple control process that does not require complex mathematical models. The paper aimed to present a fuzzy control system implemented in a rocket tracking control system as the controller because it could work well on non-linear systems and offered convenience in program design. The fuzzy control system worked to keep the rocket on track and travel at a fixed speed. The signal from the fuzzy logic control system served to control the rocket thrust. However, the process of the fuzzy logic control system is slow and time-consuming, not proper for the one that required rapid control, such as rockets, and is not applicable for tracking ramp and parabolic signals. The fuzzy logic, therefore, was modified by adding second-order integral control. The proposed algorithm showed that, by adding second-order integral control, the rocket glided 12.78m at 12 seconds with a steady-state error of 0.78 according to the setpoint of ramp path 12 m; 10.68m at 10 seconds with a steady-state error of 0.68 according to the setpoint of ramp path 10m; and 4.689m at 4 seconds with a steady-state error of 0.689 according to the setpoint of ramp path 4m. In accordance with the parabolic path, the rocket glided 15.47m at the 4th minute with 0 steady-state error.

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Section: Extended Fuzzy Adaptive Event Trigger Compensationmentioning

confidence: 99%

Second Order Integral Fuzzy Logic Control Based Rocket Tracking Control

Iswanto

Ahmad

2021

jrc

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“…WSANs measure environmental conditions like temperature, sound, pollution levels, humidity, and so on. In fact, WSANs are the base to establish a supervisory control and data acquisition system with the benefits of extending the network boundaries and enhancing the network scalability of the industrial environments [151]. Recent research interest in the data-driven industrial WSAN literature has been focused on a number of emerging problems.…”

Section: B Architectures Focusing On Iiot / Icps and Wsanmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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“…Information System. Formally, an information system can be described as follows: Let = ( , , , ) [11][12][13][14][15][16][17][18], where = { 1 , 2 , . .…”

Section: Attribute Reduction In the Roug Set Theorymentioning

confidence: 99%

Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things

Cheng

Zheng

Wang

et al. 2019

Wireless Communications and Mobile Computing

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Due to the problem of attribute redundancy in meteorological data from the Industrial Internet of Things (IIoT) and the slow efficiency of existing attribute reduction algorithms, attribute reduction based on a genetic algorithm for the coevolution of meteorological data was proposed. The evolutionary population was divided into two subpopulations: one subpopulation used elite individuals to assist crossover operations to increase the convergence speed of the algorithm, and the other subpopulation balanced the population diversity in the evolutionary process by introducing a random population; these two subpopulations completed the evolutionary operations together. With the TSDPSO-AR algorithm and ARAGA algorithm, the attribute reduction operation for precipitation in meteorological data was performed. The results showed that the proposed algorithm maintained the diversity of the population during evolution, improved the reduction performance, and simplified the information system.

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Cross-Domain Fine-Grained Data Usage Control Service for Industrial Wireless Sensor Networks

Cited by 23 publications

References 23 publications

Second Order Integral Fuzzy Logic Control Based Rocket Tracking Control

Second Order Integral Fuzzy Logic Control Based Rocket Tracking Control

Data Management in Industry 4.0: State of the Art and Open Challenges

Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things

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