[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} }
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 -
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