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Modeling the Energy Performance of LoRaWAN

Department of Network Engineering, Universitat Politècnica de Catalunya/Fundació i2Cat, C/Esteve Terradas, 7, 08860 Castelldefels, Spain
Author to whom correspondence should be addressed.
Sensors 2017, 17(10), 2364;
Received: 4 August 2017 / Revised: 10 October 2017 / Accepted: 14 October 2017 / Published: 16 October 2017
(This article belongs to the Section Sensor Networks)
LoRaWAN is a flagship Low-Power Wide Area Network (LPWAN) technology that has highly attracted much attention from the community in recent years. Many LoRaWAN end-devices, such as sensors or actuators, are expected not to be powered by the electricity grid; therefore, it is crucial to investigate the energy consumption of LoRaWAN. However, published works have only focused on this topic to a limited extent. In this paper, we present analytical models that allow the characterization of LoRaWAN end-device current consumption, lifetime and energy cost of data delivery. The models, which have been derived based on measurements on a currently prevalent LoRaWAN hardware platform, allow us to quantify the impact of relevant physical and Medium Access Control (MAC) layer LoRaWAN parameters and mechanisms, as well as Bit Error Rate (BER) and collisions, on energy performance. Among others, evaluation results show that an appropriately configured LoRaWAN end-device platform powered by a battery of 2400 mAh can achieve a 1-year lifetime while sending one message every 5 min, and an asymptotic theoretical lifetime of 6 years for infrequent communication. View Full-Text
Keywords: LoRaWAN; LoRa; energy; energy modeling; performance evaluation; Internet of Things; IoT; smart cities; LPWAN LoRaWAN; LoRa; energy; energy modeling; performance evaluation; Internet of Things; IoT; smart cities; LPWAN
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MDPI and ACS Style

Casals, L.; Mir, B.; Vidal, R.; Gomez, C. Modeling the Energy Performance of LoRaWAN. Sensors 2017, 17, 2364.

AMA Style

Casals L, Mir B, Vidal R, Gomez C. Modeling the Energy Performance of LoRaWAN. Sensors. 2017; 17(10):2364.

Chicago/Turabian Style

Casals, Lluís, Bernat Mir, Rafael Vidal, and Carles Gomez. 2017. "Modeling the Energy Performance of LoRaWAN" Sensors 17, no. 10: 2364.

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