The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems
Factory automation systems based on the IEEE 802.11 Wi-Fi standard may benefit from its Multi-Rate Support (MRS) feature, which allows for dynamically selecting the most suitable transmission rate for the targeted application context. The MRS is implemented by means of rate adaptation algorithms (RA...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/18/5195 |
| _version_ | 1797553924497997824 |
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| author | Tommaso Fedullo Federico Tramarin Stefano Vitturi |
| author_facet | Tommaso Fedullo Federico Tramarin Stefano Vitturi |
| author_sort | Tommaso Fedullo |
| collection | DOAJ |
| description | Factory automation systems based on the IEEE 802.11 Wi-Fi standard may benefit from its Multi-Rate Support (MRS) feature, which allows for dynamically selecting the most suitable transmission rate for the targeted application context. The MRS is implemented by means of rate adaptation algorithms (RAAs), which has already demonstrated to be effective to improve both timeliness and reliability, which are typically strict requirements of industrial real-time communication systems. Indeed, some of such algorithms have been specifically conceived for reliable real-time communications. However, the computational complexity of such algorithms has not been effectively investigated yet. In this paper, we address such an issue, particularly focusing on the execution times of some specific rate adaptation algorithms, as well as on their impact on the automation tasks. In this respect, after a formal description of the algorithms, we present the outcomes of an extensive experimental session, which includes practical measurements and realistic simulations. The obtained results are encouraging, since the measured execution times indicate that rate adaptation algorithms can be profitably adopted by industrial automation systems, allowing for improving their reliability and timeliness without impacting on the overall performance. |
| first_indexed | 2024-03-10T16:23:33Z |
| format | Article |
| id | doaj.art-6be3d1140db04212a84c6790a9f60911 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:23:33Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6be3d1140db04212a84c6790a9f609112023-11-20T13:28:59ZengMDPI AGSensors1424-82202020-09-012018519510.3390/s20185195The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation SystemsTommaso Fedullo0Federico Tramarin1Stefano Vitturi2Department of Management and Engineering, University of Padova, S. S. Nicola 3, 36100 Vicenza, ItalyDepartment of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, 41125 Modena, ItalyNational Research Council of Italy, CNR–IEIIT, Via Gradenigo 6/B, 35131 Padova, ItalyFactory automation systems based on the IEEE 802.11 Wi-Fi standard may benefit from its Multi-Rate Support (MRS) feature, which allows for dynamically selecting the most suitable transmission rate for the targeted application context. The MRS is implemented by means of rate adaptation algorithms (RAAs), which has already demonstrated to be effective to improve both timeliness and reliability, which are typically strict requirements of industrial real-time communication systems. Indeed, some of such algorithms have been specifically conceived for reliable real-time communications. However, the computational complexity of such algorithms has not been effectively investigated yet. In this paper, we address such an issue, particularly focusing on the execution times of some specific rate adaptation algorithms, as well as on their impact on the automation tasks. In this respect, after a formal description of the algorithms, we present the outcomes of an extensive experimental session, which includes practical measurements and realistic simulations. The obtained results are encouraging, since the measured execution times indicate that rate adaptation algorithms can be profitably adopted by industrial automation systems, allowing for improving their reliability and timeliness without impacting on the overall performance.https://www.mdpi.com/1424-8220/20/18/5195wireless industrial networksrate adaptationIEEE 802.11factory automationreal-time networks |
| spellingShingle | Tommaso Fedullo Federico Tramarin Stefano Vitturi The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems Sensors wireless industrial networks rate adaptation IEEE 802.11 factory automation real-time networks |
| title | The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems |
| title_full | The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems |
| title_fullStr | The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems |
| title_full_unstemmed | The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems |
| title_short | The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems |
| title_sort | impact of rate adaptation algorithms on wi fi based factory automation systems |
| topic | wireless industrial networks rate adaptation IEEE 802.11 factory automation real-time networks |
| url | https://www.mdpi.com/1424-8220/20/18/5195 |
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