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Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation

Topics: Architecture for secure and interactive IoT; Internet of Things; IoT Services and Applications; Modeling, Experiments, Sharing Technologies & Platforms; Networking and Social Networks; Performance Evaluation and Modeling ; Sensor Networks, Remote Diagnosis and Development; Sensors; Smart City Examples and Case Studies; Systems for IoT and Services Computing; Technological focus for Smart Environments

Authors: Tobias Altenburg ; Matthias Volk ; Daniel Staegemann and Klaus Turowski

Affiliation: Very Large Business Applications Lab, Faculty of Computer Science Otto-von-Guericke University Magdeburg, Germany

Keyword(s): Internet of Things, Reliability, Smart Meter Architecture, Monte Carlo Simulation, Reliability Block Diagram.

Abstract: The trend of connectivity dominates the technological progress. The number of networked devices is constantly increasing and the use of smart meters has become more societally relevant. For that reason, reliability is an important attribute of related architectures. To calculate reliability, it is required to do a specific analysis for the entire system. This paper describes a structured approach for calculating the reliability of smart meter architectures considering the limited data availability. For this, we combine Reliability Block Diagrams with a Monte Carlo simulation. The result is a realistic approximation of the system reliability, that can be used to evaluate optimization methods.

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Paper citation in several formats:
Altenburg, T., Volk, M., Staegemann, D. and Turowski, K. (2022). Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation. In Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-564-7; ISSN 2184-4976, SciTePress, pages 47-54. DOI: 10.5220/0010988100003194

@conference{iotbds22,
author={Tobias Altenburg and Matthias Volk and Daniel Staegemann and Klaus Turowski},
title={Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation},
booktitle={Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2022},
pages={47-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010988100003194},
isbn={978-989-758-564-7},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation
SN - 978-989-758-564-7
IS - 2184-4976
AU - Altenburg, T.
AU - Volk, M.
AU - Staegemann, D.
AU - Turowski, K.
PY - 2022
SP - 47
EP - 54
DO - 10.5220/0010988100003194
PB - SciTePress

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