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Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation

Wireless Sensor Networks (WSN) are widely used in different monitoring systems. Given the distributed nature of WSN, a constantly increasing number of research studies are concentrated on some important aspects: maximizing network autonomy, node localization, and data access security. The node local...

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Detalles Bibliográficos
Autores principales: Dolha, Stelian, Negirla, Paul, Alexa, Florin, Silea, Ioan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806337/
https://www.ncbi.nlm.nih.gov/pubmed/31561569
http://dx.doi.org/10.3390/s19194179
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author Dolha, Stelian
Negirla, Paul
Alexa, Florin
Silea, Ioan
author_facet Dolha, Stelian
Negirla, Paul
Alexa, Florin
Silea, Ioan
author_sort Dolha, Stelian
collection PubMed
description Wireless Sensor Networks (WSN) are widely used in different monitoring systems. Given the distributed nature of WSN, a constantly increasing number of research studies are concentrated on some important aspects: maximizing network autonomy, node localization, and data access security. The node localization and distance estimation algorithms have, as their starting points, different information provided by the nodes. The level of signal strength is often such a starting point. A system for Received Signal Strength Indicator (RSSI) acquisition has been designed, implemented, and tested. In this paper, experiments in different operating environments have been conducted to show the variation of Received Signal Strength Indicator (RSSI) metric related to distance and geometrical orientation of the nodes and environment, both indoor and outdoor. Energy aware data transmission algorithms adjust the power consumed by the nodes according to the relative distance between the nodes. Experiments have been conducted to measure the current consumed by the node depending on the adjusted transmission power. In order to use the RSSI values as input for distance or location detection algorithms, the RSSI values can’t be used without intermediate processing steps to mitigate with the non-linearity of the measured values. The results of the measurements confirmed that the RSSI level varies with distance, geometrical orientation of the sensors, and environment characteristics.
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spelling pubmed-68063372019-11-07 Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation Dolha, Stelian Negirla, Paul Alexa, Florin Silea, Ioan Sensors (Basel) Article Wireless Sensor Networks (WSN) are widely used in different monitoring systems. Given the distributed nature of WSN, a constantly increasing number of research studies are concentrated on some important aspects: maximizing network autonomy, node localization, and data access security. The node localization and distance estimation algorithms have, as their starting points, different information provided by the nodes. The level of signal strength is often such a starting point. A system for Received Signal Strength Indicator (RSSI) acquisition has been designed, implemented, and tested. In this paper, experiments in different operating environments have been conducted to show the variation of Received Signal Strength Indicator (RSSI) metric related to distance and geometrical orientation of the nodes and environment, both indoor and outdoor. Energy aware data transmission algorithms adjust the power consumed by the nodes according to the relative distance between the nodes. Experiments have been conducted to measure the current consumed by the node depending on the adjusted transmission power. In order to use the RSSI values as input for distance or location detection algorithms, the RSSI values can’t be used without intermediate processing steps to mitigate with the non-linearity of the measured values. The results of the measurements confirmed that the RSSI level varies with distance, geometrical orientation of the sensors, and environment characteristics. MDPI 2019-09-26 /pmc/articles/PMC6806337/ /pubmed/31561569 http://dx.doi.org/10.3390/s19194179 Text en © 2019 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
Dolha, Stelian
Negirla, Paul
Alexa, Florin
Silea, Ioan
Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation
title Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation
title_full Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation
title_fullStr Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation
title_full_unstemmed Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation
title_short Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation
title_sort considerations about the signal level measurement in wireless sensor networks for node position estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806337/
https://www.ncbi.nlm.nih.gov/pubmed/31561569
http://dx.doi.org/10.3390/s19194179
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