Cargando…
Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control
Indoor localization based on wireless sensor networks (WSNs) is an important field of research with numerous applications, such as elderly care, miner security, and smart buildings. In this paper, we present a localization method based on the received signal strength difference (RSSD) to determine a...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934214/ https://www.ncbi.nlm.nih.gov/pubmed/27258272 http://dx.doi.org/10.3390/s16060788 |
_version_ | 1782441296594468864 |
---|---|
author | Zou, Tengyue Lin, Shouying Li, Shuyuan |
author_facet | Zou, Tengyue Lin, Shouying Li, Shuyuan |
author_sort | Zou, Tengyue |
collection | PubMed |
description | Indoor localization based on wireless sensor networks (WSNs) is an important field of research with numerous applications, such as elderly care, miner security, and smart buildings. In this paper, we present a localization method based on the received signal strength difference (RSSD) to determine a target on a map with unknown transmission information. To increase the accuracy of localization, we propose a confidence value for each anchor node to indicate its credibility for participating in the estimation. An automatic calibration device is designed to help acquire the values. The acceleration sensor and unscented Kalman filter (UKF) are also introduced to reduce the influence of measuring noise in the application. Energy control is another key point in WSN systems and may prolong the lifetime of the system. Thus, a quadtree structure is constructed to describe the region correlation between neighboring areas, and the unnecessary anchor nodes can be detected and set to sleep to save energy. The localization system is implemented on real-time Texas Instruments CC2430 and CC2431 embedded platforms, and the experimental results indicate that these mechanisms achieve a high accuracy and low energy cost. |
format | Online Article Text |
id | pubmed-4934214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-49342142016-07-06 Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control Zou, Tengyue Lin, Shouying Li, Shuyuan Sensors (Basel) Article Indoor localization based on wireless sensor networks (WSNs) is an important field of research with numerous applications, such as elderly care, miner security, and smart buildings. In this paper, we present a localization method based on the received signal strength difference (RSSD) to determine a target on a map with unknown transmission information. To increase the accuracy of localization, we propose a confidence value for each anchor node to indicate its credibility for participating in the estimation. An automatic calibration device is designed to help acquire the values. The acceleration sensor and unscented Kalman filter (UKF) are also introduced to reduce the influence of measuring noise in the application. Energy control is another key point in WSN systems and may prolong the lifetime of the system. Thus, a quadtree structure is constructed to describe the region correlation between neighboring areas, and the unnecessary anchor nodes can be detected and set to sleep to save energy. The localization system is implemented on real-time Texas Instruments CC2430 and CC2431 embedded platforms, and the experimental results indicate that these mechanisms achieve a high accuracy and low energy cost. MDPI 2016-05-31 /pmc/articles/PMC4934214/ /pubmed/27258272 http://dx.doi.org/10.3390/s16060788 Text en © 2016 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 Zou, Tengyue Lin, Shouying Li, Shuyuan Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control |
title | Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control |
title_full | Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control |
title_fullStr | Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control |
title_full_unstemmed | Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control |
title_short | Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control |
title_sort | blind rssd-based indoor localization with confidence calibration and energy control |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934214/ https://www.ncbi.nlm.nih.gov/pubmed/27258272 http://dx.doi.org/10.3390/s16060788 |
work_keys_str_mv | AT zoutengyue blindrssdbasedindoorlocalizationwithconfidencecalibrationandenergycontrol AT linshouying blindrssdbasedindoorlocalizationwithconfidencecalibrationandenergycontrol AT lishuyuan blindrssdbasedindoorlocalizationwithconfidencecalibrationandenergycontrol |