Journal article

A Probabilistic Indoor Localization System for Heterogeneous Devices

Yan Li, Simon Williams, Bill Moran, Allison Kealy

IEEE Sensors Journal | Institute of Electrical and Electronics Engineers | Published : 2019

Abstract

The extensive deployment of wireless infrastructure provides a low-cost way to track mobile users in indoor environments. Crowdsourcing has been promoted as an efficient way to reduce the labour-intensive site survey process in conventional fingerprint-based localization systems. Alongside its promising advantages, crowdsourcing produces a number of new challenges, including the heterogeneity of devices resulting in signal diversity and varying sensitivities to different access points. These are caused by different sensor specifications and antenna attenuation. These challenges are exacerbated by differences in the device populations between the survey and client phases. This paper presents ..

View full abstract