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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Main Authors: Junwei Cao, Yuxin Wan, Haochen Hua, Yuchao Qin
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
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.
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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
work_keys_str_mv AT junweicao delayanalysisforendtoendsynchronouscommunicationinmonitoringsystems
AT yuxinwan delayanalysisforendtoendsynchronouscommunicationinmonitoringsystems
AT haochenhua delayanalysisforendtoendsynchronouscommunicationinmonitoringsystems
AT yuchaoqin delayanalysisforendtoendsynchronouscommunicationinmonitoringsystems