LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning.

ABSTRACT: The Internet of Things is rapidly growing with the demand for low-power, long-range wireless communication technologies. Long Range Wide Area Network (LoRaWAN) is one such technology that has gained significant attention in recent years due to its ability to provide long-range communication with low power consumption. One of the main issues in LoRaWAN is the efficient utilization of radio resources (e.g., spreading factor and transmission power) by the end devices. To solve the resource allocation issue, machine learning (ML) methods have been used to improve the LoRaWAN network performance. The primary aim of this survey paper is to study and examine the issue of resource management in LoRaWAN that has been resolved through state-of-the-art ML methods. Further, this survey presents the pu

SUBMITTER: Farhad A 

PROVIDER: S-EPMC10422334 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature