Dataset and Codes for Sub-1 GHz Indoor RSSI-Based Localisation: Trilateration, Multilateration, and Machine Learning Fingerprinting

McPartlin, B. and Wagih, M. (2025) Dataset and Codes for Sub-1 GHz Indoor RSSI-Based Localisation: Trilateration, Multilateration, and Machine Learning Fingerprinting. [Data Collection]

Collection description

Signal strength data and source codes (embedded MCU and host Python) supporting a study on indoor localisation using multiple approaches

Funding:
College / School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Date Deposited: 13 Aug 2025 11:17
URI: https://researchdata.gla.ac.uk/id/eprint/1867

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McPartlin, B. and Wagih, M. (2025); Dataset and Codes for Sub-1 GHz Indoor RSSI-Based Localisation: Trilateration, Multilateration, and Machine Learning Fingerprinting

University of Glasgow

https://researchdata.gla.ac.uk/1867

Retrieved: 2025-10-06

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