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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 6/2022

07.01.2022

Novel scheme for reducing communication data traffic in advanced metering infrastructure networks

verfasst von: Sun-Yuan Hsieh, Chih-Wei Hsu, Cheng-Han Yeh, Geng-Hua Zhang

Erschienen in: The Journal of Supercomputing | Ausgabe 6/2022

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Abstract

A smart grid uses automation and information communication technologies to guarantee its integrity. The first step of smart grid construction is the deployment of an advanced metering infrastructure system, which can read meter data automatically and maximize energy efficiency. Messages are collected at hubs distributed throughout the smart grid and sent through limited network resources. The advanced metering infrastructure system comprises a meter data management system, concentrators, relay stations between a set of smart meters and the control center, and smart meters that can collect the information of thousands of users. Concerns regarding this system are the loading on the control center, the volume of data traffic, and the quantity of the data. This study analyzes various situations of data traffic, uses Poisson process, and proposed two schemes to reduce the transmission frequency and the total data volume. A concentrator is determined to reduce the transmission frequency and compress the data from smart meters to the control center, thereby reducing the total data volume. Furthermore, the proposed scheme can reduce the loading on the control center.
Vorheriger Artikel LETHOR: a thermal-aware proactive routing algorithm for 3D NoCs with less entrance to hot regions
Nächster Artikel PanoVILD: a challenging panoramic vision, inertial and LiDAR dataset for simultaneous localization and mapping

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Metadaten
Titel
Novel scheme for reducing communication data traffic in advanced metering infrastructure networks
verfasst von
Sun-Yuan Hsieh
Chih-Wei Hsu
Cheng-Han Yeh
Geng-Hua Zhang
Publikationsdatum
07.01.2022
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 6/2022
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-021-04143-2

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