Modeling the Energy Performance of LoRaWAN
Top Cited Papers
Open Access
- 16 October 2017
- Vol. 17 (10), 2364
- https://doi.org/10.3390/s17102364
Abstract
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.Keywords
This publication has 10 references indexed in Scilit:
- LoRa Scalability: A Simulation Model Based on Interference MeasurementsSensors, 2017
- Cooperative Downlink Listening for Low-Power Long-Range Wide-Area NetworkSustainability, 2017
- Design and Implementation of The Plug&Play Enabled Flexible Modular Wireless Sensor and Actuator Network PlatformAsian Journal of Control, 2017
- Performance of a low-power wide-area network based on LoRa technology: Doppler robustness, scalability, and coverageInternational Journal of Distributed Sensor Networks, 2017
- Evaluation of LoRa LPWAN Technology for Indoor Remote Health and Wellbeing MonitoringInternational Journal of Wireless Information Networks, 2017
- Opportunistic Sensor Data Collection with Bluetooth Low EnergySensors, 2017
- Low Power Wide Area Networks: An OverviewIEEE Communications Surveys & Tutorials, 2017
- A Study of LoRa: Long Range & Low Power Networks for the Internet of ThingsSensors, 2016
- Automatic Analysis of Naturalistic Hand-Over-Face GesturesACM Transactions on Interactive Intelligent Systems, 2016
- A Study of Efficient Power Consumption Wireless Communication Techniques/ Modules for Internet of Things (IoT) ApplicationsAdvances in Internet of Things, 2016