Machine learning approaches for LoRa networks: a survey Online publication date: Thu, 05-Oct-2023
by Seham Ibrahem Abd Elkarim; Basem M. ElHalawany; Ola Mohammed Ali; M.M. Elsherbini
International Journal of Systems, Control and Communications (IJSCC), Vol. 14, No. 4, 2023
Abstract: Long-range wide-area network (LoRa) is a promising LPWAN network standard that allows for long-distance wireless communication while conserving energy. LoRa has been used in many applications such as healthcare, smart meters and traffic analysis. However, LoRa still faces several challenges in terms of reliability and scalability because it has limited number of choices for power and spreading factor (SF). These challenges have encouraged the researchers to use machine learning techniques to propose optimum solutions to these challenges and enhance the performance of LoRa networks. This paper provides an overall survey on using machine learning in LoRa networks and demonstrates the recent solutions to enhance the performance of LoRa network. The purpose of this survey is to encourage greater efforts to improve the performance of LoRa.
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