TY - GEN
T1 - The Feasibility of Dense Indoor LoRaWAN towards Passively Sensing Human Presence
AU - Grubel, Jascha
AU - Thrash, Tyler
AU - Helal, Didier
AU - Sumner, Robert W.
AU - Holscher, Christoph
AU - Schinazi, Victor R.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Long Range Wide Area Network (LoRaWAN) has been advanced as an alternative for creating indoor sensor networks that extends beyond its original long-distance communication purpose. For the present paper, we developed a Dense Indoor Sensor Network (DISN) with 390 sensor nodes and three gateways and empirically evaluated its performance for half a year. Our analysis of more than 14 million transmissions revealed that DISNs achieve a much lower distance coverage compared to previous research. In addition, the deployment of multiple gateways decreased the loss of transmissions due to environmental and network factors such as concurrently received messages. Given the complexity of our system, we received few colliding concurrent messages, which demonstrates a gap between the projected requirements of LoRaWAN systems and the actual requirements of real-world applications. Our attenuation model indicates that robust coverage in an indoor environment can be maintained by placing a gateway every 30 m and every 5 floors. We discuss the application of DISNs for the passive sensing and visualization of human presence using a Digital Twin (DT).
AB - Long Range Wide Area Network (LoRaWAN) has been advanced as an alternative for creating indoor sensor networks that extends beyond its original long-distance communication purpose. For the present paper, we developed a Dense Indoor Sensor Network (DISN) with 390 sensor nodes and three gateways and empirically evaluated its performance for half a year. Our analysis of more than 14 million transmissions revealed that DISNs achieve a much lower distance coverage compared to previous research. In addition, the deployment of multiple gateways decreased the loss of transmissions due to environmental and network factors such as concurrently received messages. Given the complexity of our system, we received few colliding concurrent messages, which demonstrates a gap between the projected requirements of LoRaWAN systems and the actual requirements of real-world applications. Our attenuation model indicates that robust coverage in an indoor environment can be maintained by placing a gateway every 30 m and every 5 floors. We discuss the application of DISNs for the passive sensing and visualization of human presence using a Digital Twin (DT).
UR - https://www.scopus.com/pages/publications/85108062358
U2 - 10.1109/PERCOM50583.2021.9439137
DO - 10.1109/PERCOM50583.2021.9439137
M3 - Conference contribution
AN - SCOPUS:85108062358
T3 - 2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021
SP - 1
EP - 11
BT - 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Pervasive Computing and Communications, PerCom 2021
Y2 - 22 March 2021 through 26 March 2021
ER -