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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Main Authors: Ryota Kimoto, Shigemi Ishida, Takahiro Yamamoto, Shigeaki Tagashira, Akira Fukuda
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
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.
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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
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AT shigemiishida muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics
AT takahiroyamamoto muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics
AT shigeakitagashira muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics
AT akirafukuda muchlocindoorzigbeelocalizationsystemutilizinginterchannelcharacteristics