TY - CHAP
T1 - Evaluation of Multi-Gateway LoRaWAN with Different Data Traffic Models
AU - Farooq, Muhammad Omer
AU - Pesch, DIrk
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In this paper, We analyze the performance of popular low-power wide-area networking technology called long rage (LoRa) using different data traffic generation models, and by varying the number of gateways in a LoRa network cell. Moreover, we also analyze LoRa's performance in the presence of multiple concurrent applications in a LoRa network. Here, we also present an extension for an existing LoRa simulator called LoRaSim to simulate multiple concurrent applications in the presence of multiple gateways in a LoRa network. Our results demonstrate that, a LoRa communication setting that supports diversity in terms of bandwidth, spreading factor, and coding rate demonstrates good performance for different data traffic models mostly without requiring multiple gateways in a LoRa network cell. Through simulation case studies, we also demonstrate effectiveness of our extended LoRaSim simulator.
AB - In this paper, We analyze the performance of popular low-power wide-area networking technology called long rage (LoRa) using different data traffic generation models, and by varying the number of gateways in a LoRa network cell. Moreover, we also analyze LoRa's performance in the presence of multiple concurrent applications in a LoRa network. Here, we also present an extension for an existing LoRa simulator called LoRaSim to simulate multiple concurrent applications in the presence of multiple gateways in a LoRa network. Our results demonstrate that, a LoRa communication setting that supports diversity in terms of bandwidth, spreading factor, and coding rate demonstrates good performance for different data traffic models mostly without requiring multiple gateways in a LoRa network cell. Through simulation case studies, we also demonstrate effectiveness of our extended LoRaSim simulator.
UR - https://www.scopus.com/pages/publications/85062842869
U2 - 10.1109/LCN.2018.8638075
DO - 10.1109/LCN.2018.8638075
M3 - Chapter
AN - SCOPUS:85062842869
T3 - Proceedings - Conference on Local Computer Networks, LCN
SP - 279
EP - 282
BT - 43rd IEEE Conference on Local Computer Networks, LCN 2018
PB - IEEE Computer Society
T2 - 43rd IEEE Conference on Local Computer Networks, LCN 2018
Y2 - 1 October 2018 through 4 October 2018
ER -