TY - GEN
T1 - Evaluating LoRa energy efficiency for adaptive networks
T2 - 13th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2017
AU - Ochoa, Moises Nunez
AU - Guizar, Arturo
AU - Maman, Mickael
AU - Duda, Andrzej
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/20
Y1 - 2017/11/20
N2 - The LoRa technology has emerged as an interesting solution for low power, long range loT applications by proposing multiple 'degrees of freedom' at the physical layer. This flexibility provides either a long range at the cost of a lower data rate or higher throughput at the cost of low sensitivity, so a shorter range. In this paper, we analyze the flexibility of LoRa and propose various strategies to adapt its radio parameters (such as the spreading factor, bandwidth, and transmission power) to different deployment scenarios. We compute the energy consumption of LoRa transceivers using various radio configurations in both star and mesh topologies. Our simulation results show that in a star topology, we can achieve the optimal scaling-up/down strategy of LoRa radio parameters to obtain either a high data rate or a long range while respecting low energy consumption. In mesh networks, energy consumption is optimized by exploiting various radio configurations and the network topology (e.g., the number of hops, the network density, the cell coverage). Finally, we propose a strategy to take advantage of both star and mesh topologies.
AB - The LoRa technology has emerged as an interesting solution for low power, long range loT applications by proposing multiple 'degrees of freedom' at the physical layer. This flexibility provides either a long range at the cost of a lower data rate or higher throughput at the cost of low sensitivity, so a shorter range. In this paper, we analyze the flexibility of LoRa and propose various strategies to adapt its radio parameters (such as the spreading factor, bandwidth, and transmission power) to different deployment scenarios. We compute the energy consumption of LoRa transceivers using various radio configurations in both star and mesh topologies. Our simulation results show that in a star topology, we can achieve the optimal scaling-up/down strategy of LoRa radio parameters to obtain either a high data rate or a long range while respecting low energy consumption. In mesh networks, energy consumption is optimized by exploiting various radio configurations and the network topology (e.g., the number of hops, the network density, the cell coverage). Finally, we propose a strategy to take advantage of both star and mesh topologies.
UR - http://www.scopus.com/inward/record.url?scp=85041422179&partnerID=8YFLogxK
U2 - 10.1109/WiMOB.2017.8115793
DO - 10.1109/WiMOB.2017.8115793
M3 - Conference contribution
AN - SCOPUS:85041422179
T3 - International Conference on Wireless and Mobile Computing, Networking and Communications
BT - 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2017
PB - IEEE Computer Society
Y2 - 9 October 2017 through 11 October 2017
ER -