Article
25 October 2021
Published
MDPI AG
10.3390/e23111401
Edinburgh Napier Funded
Nawaz, H., Tahir, A., Ahmed, N., Fayyaz, U. U., Mahmood, T., Jaleel, A., …Abbasi, Q. (2021). Ultra-Low-Power, High-Accuracy 434 MHz Indoor Positioning System for Smart Homes Leveraging Machine Learning Models. Entropy, 23(11), Article 1401. https://doi.org/10.3390/e23111401
Senior Research FellowSchool of Computing Engineering and the Built Environment
0131 455 4793
M.Gogate@napier.ac.uk
LecturerSchool of Computing Engineering and the Built Environment
0131 455 4798
K.Dashtipour@napier.ac.uk
indoor positioning system (IPS); time difference of arrival (TDOA); ultra-low power; telemetry link
55MB