Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service
This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Cont...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-02-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/3/4700 |
| _version_ | 1811302357240119296 |
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| author | Jose-Luis Poza-Lujan Juan-Luis Posadas-Yagüe José-Enrique Simó-Ten Raúl Simarro Ginés Benet |
| author_facet | Jose-Luis Poza-Lujan Juan-Luis Posadas-Yagüe José-Enrique Simó-Ten Raúl Simarro Ginés Benet |
| author_sort | Jose-Luis Poza-Lujan |
| collection | DOAJ |
| description | This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Control (QoC) parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS) communication standard as proposed by the Object Management Group (OMG). As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl) has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC) system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems. |
| first_indexed | 2024-04-13T07:26:37Z |
| format | Article |
| id | doaj.art-2418f5c8f4014776a732908c5775dea8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:26:37Z |
| publishDate | 2015-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2418f5c8f4014776a732908c5775dea82022-12-22T02:56:28ZengMDPI AGSensors1424-82202015-02-011534700473310.3390/s150304700s150304700Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of ServiceJose-Luis Poza-Lujan0Juan-Luis Posadas-Yagüe1José-Enrique Simó-Ten2Raúl Simarro3Ginés Benet4University Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , SpainUniversity Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , SpainUniversity Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , SpainUniversity Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , SpainUniversity Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , SpainThis paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Control (QoC) parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS) communication standard as proposed by the Object Management Group (OMG). As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl) has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC) system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems.http://www.mdpi.com/1424-8220/15/3/4700middlewaredistributed architectureintelligent controlDDSNCSquality of service (QoS)quality of control (QoC) |
| spellingShingle | Jose-Luis Poza-Lujan Juan-Luis Posadas-Yagüe José-Enrique Simó-Ten Raúl Simarro Ginés Benet Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service Sensors middleware distributed architecture intelligent control DDS NCS quality of service (QoS) quality of control (QoC) |
| title | Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service |
| title_full | Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service |
| title_fullStr | Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service |
| title_full_unstemmed | Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service |
| title_short | Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service |
| title_sort | distributed sensor architecture for intelligent control that supports quality of control and quality of service |
| topic | middleware distributed architecture intelligent control DDS NCS quality of service (QoS) quality of control (QoC) |
| url | http://www.mdpi.com/1424-8220/15/3/4700 |
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