ArticleSensors (Basel, Switzerland)2024
BLE-Based Indoor Localization: Analysis of Some Solutions for Performance Improvement.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Severity-aware hierarchical federated learning for privacy-preserving indoor emergency recognition in BLE-based medical IoT environments.Frontiers in medical technology · 2026Article
- From Fingerprinting to Advanced Machine Learning: A Systematic Review of Wi-Fi and BLE-Based Indoor Positioning Systems.Sensors (Basel, Switzerland) · 2025Review
- BLE-Based Custom Devices for Indoor Positioning in Ambient Assisted Living Systems: Design and Prototyping.Sensors (Basel, Switzerland) · 2025Article
- Classification of User Behavior Patterns for Indoor Navigation Problem.Sensors (Basel, Switzerland) · 2025Article
- Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces.Sensors (Basel, Switzerland) · 2025Article
- On Fusing Wireless Fingerprints with Pedestrian Dead Reckoning to Improve Indoor Localization Accuracy.Sensors (Basel, Switzerland) · 2025Article
- Enhancing Localization Accuracy and Reducing Processing Time in Indoor Positioning Systems: A Comparative Analysis of AI Models.Sensors (Basel, Switzerland) · 2025Article
- High-Resolution Phase-Based Ranging Using Inverse Fourier Transform in an Iterative Bayesian Approach.Sensors (Basel, Switzerland) · 2024Article
- Enhancing Reliability and Stability of BLE Mesh Networks: A Multipath Optimized AODV Approach.Sensors (Basel, Switzerland) · 2024Article
- Wi-Fi Fingerprint Indoor Localization by Semi-Supervised Generative Adversarial Network.Sensors (Basel, Switzerland) · 2024Article
- Distance- and Angle-Based Hybrid Localization Integrated in the IEEE 802.15.4 TSCH Communication Protocol.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper addresses indoor localization using an anchor-based system based on Bluetooth Low Energy (BLE) 5.0 technology, adopting the Received Signal Strength Indicator (RSSI) for the distance estimation. Different solutions have been proposed in the scientific literature to improve the performance of this localization technology, but a detailed performance comparison of these solutions is still missing. The aim of this work is to make an experimental analysis combining different solutions for the performance improvement of BLE-based indoor localization, identifying the most effective one. The considered solutions involve different RSSI signals' conditioning, the use of anchor-tag distance estimation techniques, as well as approaches for estimating the unknown tag position. An experimental campaign was executed in a complex indoor environment, characterized by the continuous presence in the movement of working staff and numerous obstacles. The exploitation of multichannel transmission using RSSI signal aggregation techniques showed the greater performance improvement of the localization system, reducing the positioning error (from 1.5 m to about 1 m). The other examined solutions have shown a lesser impact in the performance improvement with a decrease or an increase in the positioning errors, depending on the considered combination of the adopted solutions.
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