Machine Learning for Indoor Localization
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 619
Please feel free to contact Guest Editors or Special Issue Editor ([email protected]) for any queries.
Special Issue Editors
Interests: indoor localization; internet of things; wireless sensor networks
Interests: robotics; mechatronics; automation
Interests: Internet of Things; machine learning; data analytics; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A functional indoor positioning system (IPS) is key to delivering location-based services, ambient assisted living, human–computer interaction, asset tracking, etc. in GPS denied environments, e.g., inside buildings. While considerable progress has been made in the field of indoor localization, there are still no widely adopted solutions. Machine learning (ML) techniques present an opportunity to address the challenges facing the discipline through data-driven solutions. This Special Issue aims to publish original, novel works that apply machine learning and computational intelligence techniques for indoor localization. The scope encompasses RF/wireless and non-RF sensing modalities and active and passive/device-free localization. Comprehensive review papers that discuss the state of the art and outline research challenges and opportunities are also welcome.
Dr. Fakhrul Alam
Prof. Dr. Weiliang Xu
Prof. Dr. Joarder Kamruzzaman
Dr. Daniel Konings
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine learning
- computational intelligence techniques
- CSI-based localization
- RSSI-based localization
- Visible light positioning
- VLC-based localization
- Wi-Fi-based localization
- UWB-based localization
- Bluetooth-based localization
- Device-free localization Smartphone localization
- Localization with magnetic fingerprinting
- Localization with capacitive sensing
- Localization with electric-field sensing
- Localization with infrared sensing
- Localization with vibration sensing
- Multiple target localization
- Fingerprint-assisted localization Augmented indoor localization
- Multivariate/multisensor approaches to indoor localization
- Privacy-preserving indoor localization
- Security and vulnerability analysis for indoor localization
