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

Nuradha, T; Gnanarathne, I; Perera, L; Denipitiyage, D; Dias, D

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dc.contributor.author	Nuradha, T
dc.contributor.author	Gnanarathne, I
dc.contributor.author	Perera, L
dc.contributor.author	Denipitiyage, D
dc.contributor.author	Dias, D
dc.date.accessioned	2019-10-22T05:50:40Z
dc.date.available	2019-10-22T05:50:40Z
dc.identifier.uri	http://dl.lib.mrt.ac.lk/handle/123/15170
dc.description.abstract	Indoor 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.language.iso	en	en_US
dc.subject	Indoor	en_US
dc.subject	Wireless positioning	en_US
dc.subject	BLE	en_US
dc.subject	Wi-Fi	en_US
dc.subject	Hybrid positioning	en_US
dc.title	Beacon placement algorithm for hybrid indoor positioning with Wi-Fi and bluetooth low energy	en_US
dc.type	Conference-Abstract	en_US
dc.identifier.faculty	Architecture	en_US
dc.identifier.department	Department of Electronic and Telecommunication Engineeriong	en_US
dc.identifier.year	2019	en_US
dc.identifier.conference	Moratuwa Engineering Research Conference - MERCon 2019	en_US
dc.identifier.place	Moraruwa, Sri Lanka	en_US