Utilizing LoRa for Control Link in Software-defined Aerial Networks: Analysis and Implementation

Zeynep Betul Arslanbenzer*, Busra Bayram, Talip Tolga Sari, Gokhan Secinti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Software Defined Aerial Networks require longrange and reliable control links to carry out their missions/tasks especially when deployed in the vast areas. Unfortunately, existing control links provide services mainly tailored for controlling/monitoring the UAV flights and fall back to Wi-Fi for data transmission, which, on one hand drastically limits the effective mission areas of aerial networks, and on the other, necessitates multi-hop WiFi links to carry data over long distances. In this paper, we propose LoRA-based control link, on which both OpenFlow and flight control messages are carried in LoRa frames. This proposed link opportunistically tunes required spreading factor to ensure robust connectivity as the mission area grows. To this end, we build proof-of-concept drone using COTS hardware and open-source software, showcasing both network control and flight control data can be seamlessly transmitted over LoRA channels. Furthermore, we validate feasibility of our method for large-scale setup by extensive OMNET ++ simulations where we observe that Software Defined Aerial Networks can operate up to 3000m range and can successfully admit new network flows and update flight paths with only %3 percent packet drop rate.

Original languageEnglish
Title of host publication2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages164-169
Number of pages6
ISBN (Electronic)9798350303490
DOIs
Publication statusPublished - 2023
Event2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 - Edinburgh, United Kingdom
Duration: 6 Nov 20238 Nov 2023

Publication series

NameIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
ISSN (Electronic)2378-4873

Conference

Conference2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Country/TerritoryUnited Kingdom
CityEdinburgh
Period6/11/238/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Control Channel
  • FANETs
  • LoRa
  • Longrange Communication
  • SDN

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