MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel Characteristics
The deployment of a large-scale indoor sensor network faces a sensor localization problem because we need to manually locate significantly large numbers of sensors when Global Positioning System (GPS) is unavailable in an indoor environment. Fingerprinting localization is a popular indoor localizati...
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MDPI AG
2019-04-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/19/7/1645 |
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author | Ryota Kimoto Shigemi Ishida Takahiro Yamamoto Shigeaki Tagashira Akira Fukuda |
author_facet | Ryota Kimoto Shigemi Ishida Takahiro Yamamoto Shigeaki Tagashira Akira Fukuda |
author_sort | Ryota Kimoto |
collection | DOAJ |
description | The deployment of a large-scale indoor sensor network faces a sensor localization problem because we need to manually locate significantly large numbers of sensors when Global Positioning System (GPS) is unavailable in an indoor environment. Fingerprinting localization is a popular indoor localization method relying on the received signal strength (RSS) of radio signals, which helps to solve the sensor localization problem. However, fingerprinting suffers from low accuracy because of an RSS instability, particularly in sensor localization, owing to low-power ZigBee modules used on sensor nodes. In this paper, we present MuCHLoc, a fingerprinting sensor localization system that improves the localization accuracy by utilizing channel diversity. The key idea of MuCHLoc is the extraction of channel diversity from the RSS of Wi-Fi access points (APs) measured on multiple ZigBee channels through fingerprinting localization. MuCHLoc overcomes the RSS instability by increasing the dimensions of the fingerprints using channel diversity. We conducted experiments collecting the RSS of Wi-Fi APs in a practical environment while switching the ZigBee channels, and evaluated the localization accuracy. The evaluations revealed that MuCHLoc improves the localization accuracy by approximately 15% compared to localization using a single channel. We also showed that MuCHLoc is effective in a dynamic radio environment where the radio propagation channel is unstable from the movement of objects including humans. |
first_indexed | 2024-04-14T03:19:12Z |
format | Article |
id | doaj.art-a99a0c4017a84a628fd4971cb8721876 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T03:19:12Z |
publishDate | 2019-04-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-a99a0c4017a84a628fd4971cb87218762022-12-22T02:15:21ZengMDPI AGSensors1424-82202019-04-01197164510.3390/s19071645s19071645MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel CharacteristicsRyota Kimoto0Shigemi Ishida1Takahiro Yamamoto2Shigeaki Tagashira3Akira Fukuda4Graduate School/Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, JapanGraduate School/Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, JapanGraduate School/Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, JapanFaculty of Informatics, Kansai University, Osaka 569-1095, JapanGraduate School/Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, JapanThe deployment of a large-scale indoor sensor network faces a sensor localization problem because we need to manually locate significantly large numbers of sensors when Global Positioning System (GPS) is unavailable in an indoor environment. Fingerprinting localization is a popular indoor localization method relying on the received signal strength (RSS) of radio signals, which helps to solve the sensor localization problem. However, fingerprinting suffers from low accuracy because of an RSS instability, particularly in sensor localization, owing to low-power ZigBee modules used on sensor nodes. In this paper, we present MuCHLoc, a fingerprinting sensor localization system that improves the localization accuracy by utilizing channel diversity. The key idea of MuCHLoc is the extraction of channel diversity from the RSS of Wi-Fi access points (APs) measured on multiple ZigBee channels through fingerprinting localization. MuCHLoc overcomes the RSS instability by increasing the dimensions of the fingerprints using channel diversity. We conducted experiments collecting the RSS of Wi-Fi APs in a practical environment while switching the ZigBee channels, and evaluated the localization accuracy. The evaluations revealed that MuCHLoc improves the localization accuracy by approximately 15% compared to localization using a single channel. We also showed that MuCHLoc is effective in a dynamic radio environment where the radio propagation channel is unstable from the movement of objects including humans.https://www.mdpi.com/1424-8220/19/7/1645ZigBee sensor localizationfingerprintingcross-technology signal detectionmulti-channelchannel diversityfrequency selective fading |
spellingShingle | Ryota Kimoto Shigemi Ishida Takahiro Yamamoto Shigeaki Tagashira Akira Fukuda MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel Characteristics Sensors ZigBee sensor localization fingerprinting cross-technology signal detection multi-channel channel diversity frequency selective fading |
title | MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel Characteristics |
title_full | MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel Characteristics |
title_fullStr | MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel Characteristics |
title_full_unstemmed | MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel Characteristics |
title_short | MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel Characteristics |
title_sort | muchloc indoor zigbee localization system utilizing inter channel characteristics |
topic | ZigBee sensor localization fingerprinting cross-technology signal detection multi-channel channel diversity frequency selective fading |
url | https://www.mdpi.com/1424-8220/19/7/1645 |
work_keys_str_mv | AT ryotakimoto muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics AT shigemiishida muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics AT takahiroyamamoto muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics AT shigeakitagashira muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics AT akirafukuda muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics |