Wireless SDN Self-Recovery for Unmanned Swarm Cyber-Physical Systems

Hyung Seok Park, Sangheung Lee, Kyung Joon Park

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

7 Scopus citations

Abstract

The unmanned swarm cyber-physical system (USCPS) is composed of a number of unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and ground control station (GCS) to perform cooperative missions. The USCPS has a dynamic topology because unmanned vehicles (UVs) move, enter, or withdraw from the field for missions, and UVs are likely to be dropped due to defects or external attacks. In this paper, we propose a topology self-recovery scheme that responds to UV defects causing isolated clusters. UVs that are isolated from a control device are not only unable to perform missions, but also are not able to carry out the conventional recovery process. Consequently, we introduce a software-defined networking (SDN) based USCPS that can recover the UVs from isolation.

Original languageEnglish
Title of host publication2021 21st International Conference on Control, Automation and Systems, ICCAS 2021
PublisherIEEE Computer Society
Pages87-90
Number of pages4
ISBN (Electronic)9788993215212
DOIs
StatePublished - 2021
Event21st International Conference on Control, Automation and Systems, ICCAS 2021 - Jeju, Korea, Republic of
Duration: 12 Oct 202115 Oct 2021

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2021-October
ISSN (Print)1598-7833

Conference

Conference21st International Conference on Control, Automation and Systems, ICCAS 2021
Country/TerritoryKorea, Republic of
CityJeju
Period12/10/2115/10/21

Bibliographical note

Publisher Copyright:
© 2021 ICROS.

Keywords

  • Network Self-Recovery
  • Software Defined Networking
  • Unmanned Swarm Cyber-Physical Systems

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