Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems
With the rapid development of smart grid technologies, communication systems are further integrated in the existing power grids. The real-time capability and reliability of the power applications are receiving increasing concerns. Thus, it is important to measure the end-to-end delay in communicatio...
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MDPI AG
2018-10-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/18/11/3615 |
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author | Junwei Cao Yuxin Wan Haochen Hua Yuchao Qin |
author_facet | Junwei Cao Yuxin Wan Haochen Hua Yuchao Qin |
author_sort | Junwei Cao |
collection | DOAJ |
description | With the rapid development of smart grid technologies, communication systems are further integrated in the existing power grids. The real-time capability and reliability of the power applications are receiving increasing concerns. Thus, it is important to measure the end-to-end delay in communication systems. The network calculus theory has been widely applied in the communication delay measuring tasks. However, for better operation performance of power systems, most power applications require synchronous data communication, in which the network calculus theory cannot be directly applied. In this paper, we expand the network calculus theory such that it can be used to analyze the communication delay for power applications in smart grids. The problem of communication delay calculation for the synchronization system is converted into a maximum path problem in graph theory. Finally, our theoretical results are compared with the experimental ones obtained with the network simulation software EstiNet. The simulation results verify the feasibility and effectiveness of the proposed method. |
first_indexed | 2024-04-11T14:01:46Z |
format | Article |
id | doaj.art-b7f4bc1be07145f0b5d88f5382da85ef |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T14:01:46Z |
publishDate | 2018-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-b7f4bc1be07145f0b5d88f5382da85ef2022-12-22T04:20:05ZengMDPI AGSensors1424-82202018-10-011811361510.3390/s18113615s18113615Delay Analysis for End-to-End Synchronous Communication in Monitoring SystemsJunwei Cao0Yuxin Wan1Haochen Hua2Yuchao Qin3Research Institute of Information Technology, Tsinghua University, Beijing 100084, ChinaResearch Institute of Information Technology, Tsinghua University, Beijing 100084, ChinaResearch Institute of Information Technology, Tsinghua University, Beijing 100084, ChinaResearch Institute of Information Technology, Tsinghua University, Beijing 100084, ChinaWith the rapid development of smart grid technologies, communication systems are further integrated in the existing power grids. The real-time capability and reliability of the power applications are receiving increasing concerns. Thus, it is important to measure the end-to-end delay in communication systems. The network calculus theory has been widely applied in the communication delay measuring tasks. However, for better operation performance of power systems, most power applications require synchronous data communication, in which the network calculus theory cannot be directly applied. In this paper, we expand the network calculus theory such that it can be used to analyze the communication delay for power applications in smart grids. The problem of communication delay calculation for the synchronization system is converted into a maximum path problem in graph theory. Finally, our theoretical results are compared with the experimental ones obtained with the network simulation software EstiNet. The simulation results verify the feasibility and effectiveness of the proposed method.https://www.mdpi.com/1424-8220/18/11/3615smart gridmeasurement and control systemperformance analysisend-to-end communication |
spellingShingle | Junwei Cao Yuxin Wan Haochen Hua Yuchao Qin Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems Sensors smart grid measurement and control system performance analysis end-to-end communication |
title | Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems |
title_full | Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems |
title_fullStr | Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems |
title_full_unstemmed | Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems |
title_short | Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems |
title_sort | delay analysis for end to end synchronous communication in monitoring systems |
topic | smart grid measurement and control system performance analysis end-to-end communication |
url | https://www.mdpi.com/1424-8220/18/11/3615 |
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