Efficient Sensor Localization Method with Classifying Environmental Sensor Data
Sensor location estimation is important for many location-based systems in ubiquitous environments. Sensor location is usually determined using a global positioning system. For indoor localization, methods that use the received signal strength (RSS) of wireless sensors are used instead of a global p...
Үндсэн зохиолчид: | , |
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Формат: | Өгүүллэг |
Хэл сонгох: | English |
Хэвлэсэн: |
Wiley
2012-12-01
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Цуврал: | International Journal of Distributed Sensor Networks |
Онлайн хандалт: | https://doi.org/10.1155/2012/417830 |
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author | Ae-cheoun Eun Young-guk Ha |
author_facet | Ae-cheoun Eun Young-guk Ha |
author_sort | Ae-cheoun Eun |
collection | DOAJ |
description | Sensor location estimation is important for many location-based systems in ubiquitous environments. Sensor location is usually determined using a global positioning system. For indoor localization, methods that use the received signal strength (RSS) of wireless sensors are used instead of a global positioning system because of the lack of availability of a global positioning system for indoor environments. However, there is a problem in determining sensor locations from the RSS: radio signal interference occurs because of the presence of indoor obstacles. To avoid this problem, we propose a novel localization method that uses environmental data recorded at each sensor location and a data classification technique to identify the location of sensor nodes. In this study, we used a wireless sensor node to collect data on various environmental parameters—temperature, humidity, sound, and light. We then extracted some features from the collected data and trained the location data classifier to identify the location of the wireless sensor node. |
first_indexed | 2024-03-12T09:09:27Z |
format | Article |
id | doaj.art-f1fec7e3bfd842baaa2b17d38686ee63 |
institution | Directory Open Access Journal |
issn | 1550-1477 |
language | English |
last_indexed | 2025-02-16T08:44:08Z |
publishDate | 2012-12-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj.art-f1fec7e3bfd842baaa2b17d38686ee632025-02-03T05:48:36ZengWileyInternational Journal of Distributed Sensor Networks1550-14772012-12-01810.1155/2012/417830Efficient Sensor Localization Method with Classifying Environmental Sensor DataAe-cheoun EunYoung-guk HaSensor location estimation is important for many location-based systems in ubiquitous environments. Sensor location is usually determined using a global positioning system. For indoor localization, methods that use the received signal strength (RSS) of wireless sensors are used instead of a global positioning system because of the lack of availability of a global positioning system for indoor environments. However, there is a problem in determining sensor locations from the RSS: radio signal interference occurs because of the presence of indoor obstacles. To avoid this problem, we propose a novel localization method that uses environmental data recorded at each sensor location and a data classification technique to identify the location of sensor nodes. In this study, we used a wireless sensor node to collect data on various environmental parameters—temperature, humidity, sound, and light. We then extracted some features from the collected data and trained the location data classifier to identify the location of the wireless sensor node.https://doi.org/10.1155/2012/417830 |
spellingShingle | Ae-cheoun Eun Young-guk Ha Efficient Sensor Localization Method with Classifying Environmental Sensor Data International Journal of Distributed Sensor Networks |
title | Efficient Sensor Localization Method with Classifying Environmental Sensor Data |
title_full | Efficient Sensor Localization Method with Classifying Environmental Sensor Data |
title_fullStr | Efficient Sensor Localization Method with Classifying Environmental Sensor Data |
title_full_unstemmed | Efficient Sensor Localization Method with Classifying Environmental Sensor Data |
title_short | Efficient Sensor Localization Method with Classifying Environmental Sensor Data |
title_sort | efficient sensor localization method with classifying environmental sensor data |
url | https://doi.org/10.1155/2012/417830 |
work_keys_str_mv | AT aecheouneun efficientsensorlocalizationmethodwithclassifyingenvironmentalsensordata AT younggukha efficientsensorlocalizationmethodwithclassifyingenvironmentalsensordata |