Time-synchronized data collection in smart grids through IPv6 over BLE

Stanley Nwabuona, Konrad Diwold, Markus Schuss, Lukas Krammer, Simon Mayer, Alfred Einfalt

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

For the operation of electrical distribution system an increased shift towards smart grid operation can be observed. This shift provides operators with a high level of reliability and efficiency when dealing with highly dynamic distribution grids. Technically, this implies that the support for a bidirectional flow of data is critical to realizing smart grid operation, culminating in the demand for equipping grid entities (such as sensors) with communication and processing capabilities. Unfortunately, the retrofitting of brown-field electric substations in distribution grids with these capabilities is not straightforward - this scenario requires a solution that provides "industry-grade" Internet of Things capabilities at "consumer-grade" prices (e.g., off-the-shelf communication standards and hardware). In this paper, we discuss the particular challenge of precisely time-synchronized wireless data collection in secondary substations that at the same time supports on-site configuration by authorized maintenance personnel through a mobile application: to achieve this, we propose a combined implementation of IPv6 over Bluetooth Low Energy.

Originalspracheenglisch
TitelProceedings of the 8th International Conference on the Internet of Things, IoT 2018
Herausgeber (Verlag)Association of Computing Machinery
ISBN (elektronisch)9781450365642
DOIs
PublikationsstatusVeröffentlicht - 15 Okt. 2018
Veranstaltung8th International Conference on the Internet of Things: IoT 2018 - Santa Barbara, USA / Vereinigte Staaten
Dauer: 15 Okt. 201818 Okt. 2018

Konferenz

Konferenz8th International Conference on the Internet of Things
Land/GebietUSA / Vereinigte Staaten
OrtSanta Barbara
Zeitraum15/10/1818/10/18

ASJC Scopus subject areas

  • Human-computer interaction
  • Computernetzwerke und -kommunikation
  • Maschinelles Sehen und Mustererkennung
  • Software

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