In situations when the precise position of a machine is unknown, localization becomes crucial. It is crucial to identify and ascertain the machine's position. This research focuses on improving the position prediction accuracy over long-range networks using a unique machine learning-based technique. In order to increase the prediction accuracy of the reference point position on the data collected using the fingerprinting approach using LoRa technology, this study suggested an ML-based algorithm.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Muhammad Ayoub Kamal, "Indoor Localization Data Based on SNR and RSSI within Multistory Round Building Scenario over LoRa Network", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/2efr-2d41. Accessed: Dec. 06, 2024.
@data{2efr-2d41-24,
doi = {10.21227/2efr-2d41},
url = {http://dx.doi.org/10.21227/2efr-2d41},
author = {Muhammad Ayoub Kamal },
publisher = {IEEE Dataport},
title = {Indoor Localization Data Based on SNR and RSSI within Multistory Round Building Scenario over LoRa Network},
year = {2024} }
TY - DATA
T1 - Indoor Localization Data Based on SNR and RSSI within Multistory Round Building Scenario over LoRa Network
AU - Muhammad Ayoub Kamal
PY - 2024
PB - IEEE Dataport
UR - 10.21227/2efr-2d41
ER -
Muhammad Ayoub Kamal. (2024). Indoor Localization Data Based on SNR and RSSI within Multistory Round Building Scenario over LoRa Network. IEEE Dataport. http://dx.doi.org/10.21227/2efr-2d41
Muhammad Ayoub Kamal, 2024. Indoor Localization Data Based on SNR and RSSI within Multistory Round Building Scenario over LoRa Network. Available at: http://dx.doi.org/10.21227/2efr-2d41.
Muhammad Ayoub Kamal. (2024). "Indoor Localization Data Based on SNR and RSSI within Multistory Round Building Scenario over LoRa Network." Web.
1. Muhammad Ayoub Kamal. Indoor Localization Data Based on SNR and RSSI within Multistory Round Building Scenario over LoRa Network [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/2efr-2d41
Muhammad Ayoub Kamal. "Indoor Localization Data Based on SNR and RSSI within Multistory Round Building Scenario over LoRa Network." doi: 10.21227/2efr-2d41