A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks
Cyber-Physical Systems (CPS) are the next generation of embedded ICT systems designed to be aware of the physical environment by using sensor-actuator networks to provide users with a wide range of smart applications and services. Many of these smart applications are possible due to the incorporatio...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/684892 |
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| _version_ | 1832547788131401728 |
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| author | Carlos Vidal Carlos Fernández-Sánchez Jessica Díaz Jennifer Pérez |
| author_facet | Carlos Vidal Carlos Fernández-Sánchez Jessica Díaz Jennifer Pérez |
| author_sort | Carlos Vidal |
| collection | DOAJ |
| description | Cyber-Physical Systems (CPS) are the next generation of embedded ICT systems designed to be aware of the physical environment by using sensor-actuator networks to provide users with a wide range of smart applications and services. Many of these smart applications are possible due to the incorporation of autonomic control loops that implement advanced processing and analysis of historical and real-time data measured by sensors; plan actions according to a set of goals or policies; and execute plans through actuators. The complexity of this kind of systems requires mechanisms that can assist the system's design and development. This paper presents a solution for assisting the design and development of CPS based on Model-Driven Development: MindCPS (doMaIN moDel for CPS) solution. MindCPS solution is based on a model that provides modelling primitives for explicitly specifying the autonomic behaviour of CPS and model transformations for automatically generating part of the CPS code. In addition to the automatic code generation, the MindCPS solution offers the possibility of rapidly configuring and developing the core behaviour of a CPS, even for nonsoftware engineers. The MindCPS solution has been put into practice to deploy a smart metering system in a demonstrator located at the Technical University of Madrid. |
| format | Article |
| id | doaj-art-810f2dd1b8e84fdeb1e2457b68c5fbe3 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-810f2dd1b8e84fdeb1e2457b68c5fbe32025-02-03T06:43:17ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-03-011110.1155/2015/684892684892A Model-Driven Engineering Process for Autonomic Sensor-Actuator NetworksCarlos VidalCarlos Fernández-SánchezJessica DíazJennifer PérezCyber-Physical Systems (CPS) are the next generation of embedded ICT systems designed to be aware of the physical environment by using sensor-actuator networks to provide users with a wide range of smart applications and services. Many of these smart applications are possible due to the incorporation of autonomic control loops that implement advanced processing and analysis of historical and real-time data measured by sensors; plan actions according to a set of goals or policies; and execute plans through actuators. The complexity of this kind of systems requires mechanisms that can assist the system's design and development. This paper presents a solution for assisting the design and development of CPS based on Model-Driven Development: MindCPS (doMaIN moDel for CPS) solution. MindCPS solution is based on a model that provides modelling primitives for explicitly specifying the autonomic behaviour of CPS and model transformations for automatically generating part of the CPS code. In addition to the automatic code generation, the MindCPS solution offers the possibility of rapidly configuring and developing the core behaviour of a CPS, even for nonsoftware engineers. The MindCPS solution has been put into practice to deploy a smart metering system in a demonstrator located at the Technical University of Madrid.https://doi.org/10.1155/2015/684892 |
| spellingShingle | Carlos Vidal Carlos Fernández-Sánchez Jessica Díaz Jennifer Pérez A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks International Journal of Distributed Sensor Networks |
| title | A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks |
| title_full | A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks |
| title_fullStr | A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks |
| title_full_unstemmed | A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks |
| title_short | A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks |
| title_sort | model driven engineering process for autonomic sensor actuator networks |
| url | https://doi.org/10.1155/2015/684892 |
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