A New Approach for Wi-Fi-Based People Localization in a Long Narrow Space

Gao, L, Tang, S and Bai, Y 2019, 'A New Approach for Wi-Fi-Based People Localization in a Long Narrow Space', Wireless Communications and Mobile Computing, vol. 2019, 9581401, pp. 1-8.

Document type: Journal Article
Collection: Journal Articles

Title A New Approach for Wi-Fi-Based People Localization in a Long Narrow Space
Author(s) Gao, L
Tang, S
Bai, Y
Year 2019
Journal name Wireless Communications and Mobile Computing
Volume number 2019
Article Number 9581401
Start page 1
End page 8
Total pages 8
Publisher John Wiley & Sons
Abstract Wi-Fi-based positioning technology has been recognized as an effective technology for indoor positioning along with the rapid development and application of smartphones. One of its typical applications is localizing people in large public areas such as shopping malls, schools, and airports. A common and critical task fromsuch applications is localizing people in long narrow spaces such as a long corridor which is considered as themost frequent place where people activities take place.Generally, the geographical distribution ofWi-Fi access points (APs) in long spaces is poor for localizing people since normally less than 3 APs are connected to a smartphone. In addition, all these APs are normally mounted along a straight line; hence, it is difficult to track people using traditional positioning algorithms such as trilateration and fingerprinting. To address this issue, a new approach called same-linedual-connection (SLDC) was developed to estimate user locations with a good positioning accuracy, particularly for long narrow spaces where only limited Wi-Fi connections are available. The SLDC approach integrates geometry principle with positioning theories and machine learning ideas. The test outcome has shown that the SLDC approach produced a promising result, and a mean positioning accuracy of 1.60 m was achieved.
Subject Information Engineering and Theory
Information Systems Development Methodologies
Geospatial Information Systems
Keyword(s) Position estimation
Wireless tracking
Wi-Fi and smartphone
Differential correction algorithm
Localization in a long narrow space
DOI - identifier 10.1155/2019/9581401
Copyright notice Copyright © 2019 Longshi Gao et al.This is an open access article distributed under the Creative Commons Attribution License (CC BY 4.0)
ISSN 1530-8669
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