Optimizing Energy Efficiency in LoRaWAN IoT Applications: A Study on Adaptive Data Transmission and Sleep Scheduling Algorithms
Abstract
The widespread deployment of LoRaWAN in IoT applications is driven by its capability to support long-range communication with minimal power consumption. However, optimizing energy efficiency remains a critical concern, especially for battery-operated devices in remote or inaccessible locations. This paper investigates the optimization of energy efficiency in LoRaWAN networks through the implementation of adaptive data transmission and sleep scheduling algorithms. We explore the impact of various transmission parameters, such as spreading factor, transmission power, and duty cycle, on energy consumption. Additionally, we present novel sleep scheduling algorithms designed to minimize power usage while maintaining reliable data transmission. Our study involves both theoretical analysis and practical experiments using a testbed of LoRaWAN-enabled devices. The results demonstrate significant improvements in battery life and overall energy efficiency, validating the proposed methods. These findings offer valuable insights for the design and deployment of energy-efficient IoT solutions leveraging LoRaWAN technology.
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