Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79347
Title: BluePrint : BLE positioning algorithm based on NUFO detection
Authors: Ho, YH 
Chan, HCB 
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, 2018, v. 2018-January, p. 1-6 How to cite?
Abstract: The introduction of the Bluetooth 4.0 and Bluetooth Low Energy (BLE) standard greatly facilitates the development of Internet of Things (IoT) applications. Most of these applications require a positioning mechanism to detect the position of both people and objects. While BLE is a key enabling technology, it is relatively new as compared to Wi-Fi and RFID. Hence there is a need to conduct more studies on BLE-based positioning methods. In general, positioning methods based on signal propagation and fingerprint are commonly used in wireless networking. These methods have their own limitations in terms of practical use and ease of implementation. In this paper, we present an innovative BLE-based positioning methodology called BluePrint which makes use of a detection mechanism called NUFO (Near, Uncertain, Far and Out). It combines a simple fingerprint-like method with a rule-based algorithm to estimate positions. Experimental results show that Blueprint with NUFO detection can achieve good performance as compared to other methods. Furthermore, its implementation is simple and practical.
Description: 2017 IEEE Global Communications Conference, GLOBECOM 2017, Singapore, 4-8 December 2017
URI: http://hdl.handle.net/10397/79347
ISBN: 9781509050192
DOI: 10.1109/GLOCOM.2017.8254483
Appears in Collections:Conference Paper

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