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      Availability Improvements through Data Slicing in PLC Smart Grid Networks

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          Abstract

          An electrical power grid, is an interconnected network for delivering electricity from producers to consumers. Electrical grids vary in size from covering a single building through national grids (which cover whole countries) to transnational grids (which can cross continents). As the rollout of smart meters continues worldwide, there are use-cases where common solutions fail and the network availability of certain meters is very low due to poor communication conditions. This paper proposes a data slicing model for large data files which have to travel securely and reliably throughout the Smart Grid. The manuscript addresses improvements for PRIME PLC network availability by using correct data slicing at the application level along a tuned transmission rate in accordance with the noise levels of the power grid. Successful communications, even at low rates, mean that no manual interaction from energy supplier operators is needed reducing the maintenance costs for both the energy companies as well as for the end user. Experiments on a low power electrical grid setup have been performed in order to evaluate availability improvements through the proposed method as well as the feasibility of remote firmware upgrades. The results have shown that the current approach has similar upgrade time results with a manual firmware upgrade performed through an optical probe. Moreover, the results show that the presented remote firmware upgrade method is reliable and practical.

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          A survey on smart metering and smart grid communication

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            Cyber-security in smart grid: Survey and challenges

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              Smart Meter Data Privacy: A Survey

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                17 December 2020
                December 2020
                : 20
                : 24
                : 7256
                Affiliations
                Department of Automation and Applied Informatics, Politehnica University Timisoara, 300006 Timisoara, Romania; romina.druta@ 123456student.upt.ro (R.D.); ioan.silea@ 123456upt.ro (I.S.)
                Author notes
                [* ]Correspondence: paul.negirla@ 123456upt.ro
                Article
                sensors-20-07256
                10.3390/s20247256
                7765940
                33348872
                518f89fb-4670-44d3-a81b-9fb94e1a905d
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 02 December 2020
                : 15 December 2020
                Categories
                Article

                Biomedical engineering
                data slicing,smart grid,low-availability networks,smart metering profiling,meter firmware update,narrow-bands

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