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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MDPI AG
2019-09-01
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Online Access: | https://www.mdpi.com/1424-8220/19/19/4179 |
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author | Stelian Dolha Paul Negirla Florin Alexa Ioan Silea |
author_facet | Stelian Dolha Paul Negirla Florin Alexa Ioan Silea |
author_sort | Stelian Dolha |
collection | DOAJ |
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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language | English |
last_indexed | 2024-04-14T06:53:32Z |
publishDate | 2019-09-01 |
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spelling | doaj.art-9ea2b56787a5410ca295e4c9053077332022-12-22T02:06:58ZengMDPI AGSensors1424-82202019-09-011919417910.3390/s19194179s19194179Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position EstimationStelian Dolha0Paul Negirla1Florin Alexa2Ioan Silea3Department of Automation and Applied Informatics, Politehnica University Timişoara, Timşoara 300006, RomaniaDepartment of Automation and Applied Informatics, Politehnica University Timişoara, Timşoara 300006, RomaniaDepartment of Communications, Politehnica University Timişoara, Timişoara 300006, RomaniaDepartment of Automation and Applied Informatics, Politehnica University Timişoara, Timşoara 300006, RomaniaWireless 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.https://www.mdpi.com/1424-8220/19/19/4179sensor networksrssi (received signal strength indicator) acquisitionadjusted transmission powersensor location estimationnon-linearity of the measured values |
spellingShingle | Stelian Dolha Paul Negirla Florin Alexa Ioan Silea Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation Sensors sensor networks rssi (received signal strength indicator) acquisition adjusted transmission power sensor location estimation non-linearity of the measured values |
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 | sensor networks rssi (received signal strength indicator) acquisition adjusted transmission power sensor location estimation non-linearity of the measured values |
url | https://www.mdpi.com/1424-8220/19/19/4179 |
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