A survey on long-range wide-area network technology optimizations

Felipe S. Dantas Silva, Emidio P. Neto, Helder Oliveira, Denis Rosário, Eduardo Cerqueira, Cristiano Both, Sherali Zeadally, Augusto Venancio Neto

Research output: Contribution to journalReview articlepeer-review

42 Scopus citations


Long-Range Wide-Area Network (LoRaWAN) enables flexible long-range service communications with low power consumption which is suitable for many IoT applications. The densification of LoRaWAN, which is needed to meet a wide range of IoT networking requirements, poses further challenges. For instance, the deployment of gateways and IoT devices are widely deployed in urban areas, which leads to interference caused by concurrent transmissions on the same channel. In this context, it is crucial to understand aspects such as the coexistence of IoT devices and applications, resource allocation, Media Access Control (MAC) layer, network planning, and mobility support, that directly affect LoRaWAN's performance. We present a systematic review of state-of-the-art works for LoRaWAN optimization solutions for IoT networking operations. We focus on five aspects that directly affect the performance of LoRaWAN. These specific aspects are directly associated with the challenges of densification of LoRaWAN. Based on the literature analysis, we present a taxonomy covering five aspects related to LoRaWAN optimizations for efficient IoT networks. Finally, we identify key research challenges and open issues in LoRaWAN optimizations for IoT networking operations that must be further studied in the future.

Original languageEnglish
Article number9427535
Pages (from-to)106079-106106
Number of pages28
JournalIEEE Access
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.


  • Co-existing applications
  • IoT
  • LoRaWAN
  • MAC layer protocols enhancements
  • Mobility support
  • Network planning
  • Resource allocation mechanisms

ASJC Scopus subject areas

  • General Engineering
  • General Computer Science
  • General Materials Science


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