An Energy-Saving LoRa Linear Network System With Adaptive Transmission Parameter

Abstract

LoRaWAN is widely used in information monitoring under star topology. However, for linear topology applications, the LoRaWAN protocol requires the introduction of a large number of gateways, which will lead to information asymmetry, energy waste, and low network utilization. An energy-saving LoRa linear network system with adaptive transmission parameter is proposed. LoRa multihop technology is used for communication between nodes in the system, and narrowband Internet of Things module is used to the communicate with cloud platform. The adaptive transmission parameter mechanism is adopted in the system, which improves the adaptability of the linear network to changes in link channel conditions and reduces unnecessary energy consumption. At the same time, the flexibility and robustness of self-organizing networks are enhanced. In addition, optimized duty cycle strategies are employed to further reduce the operating power consumption. After LoRaSim simulation experiments, the results show that in the changing radio channel environment, the adaptive transmission parameter mechanism could achieve a dynamic balance between data extraction rate and energy consumption. After field tests, the results show that the system not only operates stably, but also could reduce the operating energy consumption of the LoRa linear network. The system proposed in this article is suitable for linear topological structure scenes such as river hydrological monitoring, oil pipeline monitoring, and long-distance railway monitoring.