Location fingerprint technique using Fuzzy C-Means clustering algorithm for indoor localization

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dc.contributor.authorSuroso, Dwi Joko
dc.contributor.authorCherntanomwong, Panarat
dc.contributor.authorSooraksa, Pitikhate
dc.contributor.authorTakada, Jun Ichi
dc.date.accessioned2026-08-06T10:03:25Z
dc.date.available2026-08-06T10:03:25Z
dc.date.issued2011-12-01
dc.description.abstractThe recent researches in localization technique have been supported by the emerging of wireless sensor network (WSN) technology. The issues of power and time consumption have become the main research topics in WSN-based localization technique. ZigBee as IEEE 802.15.4 is commonly used as supporting device because of its advantages for low-power, small and smart sensor nodes. This paper proposes the new technique in radio frequency (RF) fingerprint technique-based localization using Fuzzy C-Means (FCM) clustering algorithm. This technique provides an efficient localization system that gives benefit in the time-efficient and low power consumption. In this paper, received signal strength indicator (RSSI) is used as the fingerprint information which indicates the location of sensor nodes. The different amount of the reference nodes is applied. The effectiveness of this method is verified by an indoor experiment. The estimated location results from different sets of reference nodes are compared. The time consumption in experiment is compared with those using the common fingerprint technique. © 2011 IEEE.
dc.identifier.citationIEEE Region 10 Annual International Conference Proceedings TENCON, 88-92, 2011
dc.identifier.doi10.1109/TENCON.2011.6129069
dc.identifier.other2-s2.0-84856887574
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/3945
dc.sourceIEEE Region 10 Annual International Conference Proceedings TENCON
dc.subjectfingerprint technique
dc.subjectfuzzy c-means
dc.subjectlocalization
dc.subjectRSSI
dc.subjectwireless sensor network
dc.titleLocation fingerprint technique using Fuzzy C-Means clustering algorithm for indoor localization
dc.typeConference Paper

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