Beacon placement algorithm for hybrid indoor positioning with Wi-Fi and bluetooth low energy

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dc.contributor.authorNuradha, T
dc.contributor.authorGnanarathne, I
dc.contributor.authorPerera, L
dc.contributor.authorDenipitiyage, D
dc.contributor.authorDias, D
dc.date.accessioned2019-10-22T05:50:40Z
dc.date.available2019-10-22T05:50:40Z
dc.description.abstractIndoor positioning by wireless means is of significant interest in a wide range of applications; Wi-Fi and Bluetooth Low Energy (BLE) are popular candidate wireless technologies for this. We present a novel BLE beacon placement algorithm that complements existingWi-Fi infrastructure in a hybridWi-Fi/BLE positioning system. Composite signal strength measurements thus obtained, are used to derive machine learning models for location estimation. Our results show that positioning estimates at tablelevel granularity (0.9 m 1.8 m) in a computer laboratory can be achieved with 97% accuracy. This is an improvement of 20% and 30% compared to Wi-Fi and BLE only techniques respectively.en_US
dc.identifier.conferenceMoratuwa Engineering Research Conference - MERCon 2019en_US
dc.identifier.departmentDepartment of Electronic and Telecommunication Engineeriongen_US
dc.identifier.facultyArchitectureen_US
dc.identifier.placeMoraruwa, Sri Lankaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/15170
dc.identifier.year2019en_US
dc.language.isoenen_US
dc.subjectIndooren_US
dc.subjectWireless positioningen_US
dc.subjectBLEen_US
dc.subjectWi-Fien_US
dc.subjectHybrid positioningen_US
dc.titleBeacon placement algorithm for hybrid indoor positioning with Wi-Fi and bluetooth low energyen_US
dc.typeConference-Abstracten_US

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