An improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selection

Positioning is a widely used technology in wireless sensor network (WSN). For range-based positioning, the positioning accuracy is proportional to positioning accuracy. As a low-cost positioning method, the range-based received signal strength indicator (RSSI) method realizes good positioning accura...

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Main Authors: Junchao Tang, Jianhui Han
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821001034
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author Junchao Tang
Jianhui Han
author_facet Junchao Tang
Jianhui Han
author_sort Junchao Tang
collection DOAJ
description Positioning is a widely used technology in wireless sensor network (WSN). For range-based positioning, the positioning accuracy is proportional to positioning accuracy. As a low-cost positioning method, the range-based received signal strength indicator (RSSI) method realizes good positioning accuracy. However, positioning error may arise from the complex model of loss path, complicated changes of environment, and oscillation of signal. To eliminate the positioning error, this study presents a hybrid RSSI method for the WSN based on weighted centroid and adaptive threshold selection. The causes of positioning error were analyzed in details, and the positioning strategy was thus improved. Simulation results show that our method achieves better positioning accuracy and higher stability than benchmark positioning methods.
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spelling doaj.art-a73e3d425ecb4a1495c8dec845d26eee2022-12-21T18:44:35ZengElsevierAlexandria Engineering Journal1110-01682021-08-0160439153920An improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selectionJunchao Tang0Jianhui Han1Corresponding author.; School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaPositioning is a widely used technology in wireless sensor network (WSN). For range-based positioning, the positioning accuracy is proportional to positioning accuracy. As a low-cost positioning method, the range-based received signal strength indicator (RSSI) method realizes good positioning accuracy. However, positioning error may arise from the complex model of loss path, complicated changes of environment, and oscillation of signal. To eliminate the positioning error, this study presents a hybrid RSSI method for the WSN based on weighted centroid and adaptive threshold selection. The causes of positioning error were analyzed in details, and the positioning strategy was thus improved. Simulation results show that our method achieves better positioning accuracy and higher stability than benchmark positioning methods.http://www.sciencedirect.com/science/article/pii/S1110016821001034RSSIPositioningThreshold selection
spellingShingle Junchao Tang
Jianhui Han
An improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selection
Alexandria Engineering Journal
RSSI
Positioning
Threshold selection
title An improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selection
title_full An improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selection
title_fullStr An improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selection
title_full_unstemmed An improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selection
title_short An improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selection
title_sort improved received signal strength indicator positioning algorithm based on weighted centroid and adaptive threshold selection
topic RSSI
Positioning
Threshold selection
url http://www.sciencedirect.com/science/article/pii/S1110016821001034
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AT jianhuihan animprovedreceivedsignalstrengthindicatorpositioningalgorithmbasedonweightedcentroidandadaptivethresholdselection
AT junchaotang improvedreceivedsignalstrengthindicatorpositioningalgorithmbasedonweightedcentroidandadaptivethresholdselection
AT jianhuihan improvedreceivedsignalstrengthindicatorpositioningalgorithmbasedonweightedcentroidandadaptivethresholdselection