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Stochastic Power Consumption Model of Wireless Transceivers †

Energy efficiency is a key aspect when designing and optimizing contemporary wireless networks and transceivers. Assessment of energy efficiency requires proper energy consumption models. The most common solutions are to measure a single device and propose a device-specific model or to propose a sim...

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Autores principales: Kryszkiewicz, Paweł, Kliks, Adrian, Kułacz, Łukasz, Bossy, Bartosz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506744/
https://www.ncbi.nlm.nih.gov/pubmed/32825432
http://dx.doi.org/10.3390/s20174704
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author Kryszkiewicz, Paweł
Kliks, Adrian
Kułacz, Łukasz
Bossy, Bartosz
author_facet Kryszkiewicz, Paweł
Kliks, Adrian
Kułacz, Łukasz
Bossy, Bartosz
author_sort Kryszkiewicz, Paweł
collection PubMed
description Energy efficiency is a key aspect when designing and optimizing contemporary wireless networks and transceivers. Assessment of energy efficiency requires proper energy consumption models. The most common solutions are to measure a single device and propose a device-specific model or to propose a simplified model for many transceivers but not reflecting all phenomena visible in a given transceiver energy consumption. Therefore, it has to be selected to accurately model a single transceiver or coarsely model a wide group of transceivers. This paper proposes a new approach, where a fixed energy consumption model is used but with parameters being random variables. This reflects variability between various transceivers from various vendors. First the model parameters are adjusted separately for each of 14 measured WiFi modems. These devices are treated as samples of a wider population of devices and their parameters are used for stochastic parameters modeling, i.e., choosing the random variables’ distributions, their parameters, and the correlation among parameters. The proposed model can be used, e.g., for system-level network design where variability among transceivers power consumption can be used as a new degree of freedom. The paper presents simulation results for a simple multi-hop link whose energy consumption is characterized in much more detail thanks to the proposed stochastic power consumption model.
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spelling pubmed-75067442020-09-26 Stochastic Power Consumption Model of Wireless Transceivers † Kryszkiewicz, Paweł Kliks, Adrian Kułacz, Łukasz Bossy, Bartosz Sensors (Basel) Article Energy efficiency is a key aspect when designing and optimizing contemporary wireless networks and transceivers. Assessment of energy efficiency requires proper energy consumption models. The most common solutions are to measure a single device and propose a device-specific model or to propose a simplified model for many transceivers but not reflecting all phenomena visible in a given transceiver energy consumption. Therefore, it has to be selected to accurately model a single transceiver or coarsely model a wide group of transceivers. This paper proposes a new approach, where a fixed energy consumption model is used but with parameters being random variables. This reflects variability between various transceivers from various vendors. First the model parameters are adjusted separately for each of 14 measured WiFi modems. These devices are treated as samples of a wider population of devices and their parameters are used for stochastic parameters modeling, i.e., choosing the random variables’ distributions, their parameters, and the correlation among parameters. The proposed model can be used, e.g., for system-level network design where variability among transceivers power consumption can be used as a new degree of freedom. The paper presents simulation results for a simple multi-hop link whose energy consumption is characterized in much more detail thanks to the proposed stochastic power consumption model. MDPI 2020-08-20 /pmc/articles/PMC7506744/ /pubmed/32825432 http://dx.doi.org/10.3390/s20174704 Text en © 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/).
spellingShingle Article
Kryszkiewicz, Paweł
Kliks, Adrian
Kułacz, Łukasz
Bossy, Bartosz
Stochastic Power Consumption Model of Wireless Transceivers †
title Stochastic Power Consumption Model of Wireless Transceivers †
title_full Stochastic Power Consumption Model of Wireless Transceivers †
title_fullStr Stochastic Power Consumption Model of Wireless Transceivers †
title_full_unstemmed Stochastic Power Consumption Model of Wireless Transceivers †
title_short Stochastic Power Consumption Model of Wireless Transceivers †
title_sort stochastic power consumption model of wireless transceivers †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506744/
https://www.ncbi.nlm.nih.gov/pubmed/32825432
http://dx.doi.org/10.3390/s20174704
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