Design Space Exploration of a Multi-Model AI-Based Indoor Localization System

Design Space Exploration of a Multi-Model AI-Based Indoor Localization System

In this paper, we present the results of a performance evaluation and optimization process of an indoor positioning system (IPS) designed to operate on portable as well as miniaturized embedded systems. The proposed method uses the Received Signal Strength Indicator (RSSI) values from multiple Bluet...

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Bibliographic Details
Main Authors: Konstantinos Kotrotsios, Anastasios Fanariotis, Helen-Catherine Leligou, Theofanis Orphanoudakis
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
indoor localization
Bluetooth
beacons
machine learning
embedded IPS
Online Access:https://www.mdpi.com/1424-8220/22/2/570

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