Wi-Fi Received Signal Strength-based Indoor Localization System Using K-Nearest Neighbors fingerprint integrated D∗algorithm

Simple item page
dc.contributor.authorJarawan, Tanatthep
dc.contributor.authorKamsing, Patcharin
dc.contributor.authorTorteeka, Peerapong
dc.contributor.authorManuthasna, Shariff
dc.contributor.authorHematulin, Warunyu
dc.contributor.authorChooraks, Tachodom
dc.contributor.authorPhisannupawong, Thaweerath
dc.contributor.authorSangkarak, Sitthirak
dc.contributor.authorMungkhud, Sookaseam
dc.contributor.authorSomjit, Thanaporn
dc.date.accessioned2026-08-06T10:35:52Z
dc.date.available2026-08-06T10:35:52Z
dc.date.issued2022-01-01
dc.description.abstractThe indoor localization system is essential since the Global Positioning System cannot give an accurate position indoors, especially when several floor plans are considered. WiFi received signal strength becomes an alternative indicator for indoor localization systems. The experiment proposed a localization system created by integrating and working between the K-Nearest Neighbors algorithm and the D∗algorithm. The result illustrates the optimal path from the start point to the target point by avoiding the obstacle performing exceptionally well. The K-Nearest Neighbors algorithm provide the result for localization with Root Mean Square Errors of displacement at 1.190 meters, 2.491 meters, and 1.363 meters of X-Axis Y-Axis, respectively. The proposed indoor localization system can have various applications considering different environmental factors in different applications, such as the size of unmanned aerial vehicles when applying indoor unmanned aerial vehicles.
dc.identifier.citationInternational Conference on Advanced Communication Technology Icact, 2022-February, 242-247, 2022
dc.identifier.doi10.23919/ICACT53585.2022.9728918
dc.identifier.issn17389445
dc.identifier.other2-s2.0-85127536089
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/12916
dc.sourceInternational Conference on Advanced Communication Technology Icact
dc.subjectAlgorithm
dc.subjectD
dc.subjectIndoor localization
dc.subjectIndoor positioning
dc.subjectK-Nearest Neighbor
dc.subjectWi-Fi Received Signal Strength Indicator
dc.titleWi-Fi Received Signal Strength-based Indoor Localization System Using K-Nearest Neighbors fingerprint integrated D∗algorithm
dc.typeConference Paper

Files

Collections

Research