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Enhancing Micro-location Accuracy for Asset...
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Enhancing Micro-location Accuracy for Asset Tracking: An Evaluation of Two Fingerprinting Approaches Using Three Machine Learning Algorithms

Abstract

Micro-location is the ability to track a user’s location or asset at a granular level and is the next evolution in location services. However, this evolution is not proceeding without challenges. Current mobile device GPS systems are not accurate enough to provide the granularity required; especially indoors when there is no line-of-sight with satellites. One promising solution involves using Bluetooth Low Energy beacons. In this paper, we …

Authors

Sykes ER; Mustafa A

Series

Lecture Notes in Networks and Systems

Volume

359

Pagination

pp. 84-104

Publisher

Springer Nature

Publication Date

2022

DOI

10.1007/978-3-030-89880-9_7

Conference proceedings

Lecture Notes in Networks and Systems

ISSN

2367-3370