Machine learning approaches for LoRa networks: a survey
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.

Online publication date: Thu, 05-Oct-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Systems, Control and Communications (IJSCC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com