Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Park, Hyung-Seo | - |
dc.contributor.author | Lee, Sangheung | - |
dc.contributor.author | Park, Kyung-Joon | - |
dc.date.accessioned | 2023-12-26T18:43:24Z | - |
dc.date.available | 2023-12-26T18:43:24Z | - |
dc.date.created | 2022-04-20 | - |
dc.date.issued | 2021-10-12 | - |
dc.identifier.isbn | 9788993215212 | - |
dc.identifier.issn | 1598-7833 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/46900 | - |
dc.description.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. © 2021 ICROS. | - |
dc.language | English | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Wireless SDN Self-Recovery for Unmanned Swarm Cyber-Physical Systems | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.23919/ICCAS52745.2021.9649967 | - |
dc.identifier.scopusid | 2-s2.0-85124211572 | - |
dc.identifier.bibliographicCitation | 21st International Conference on Control, Automation and Systems, ICCAS 2021, pp.87 - 90 | - |
dc.identifier.url | http://2021.iccas.org/?page_id=972 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | 제주 | - |
dc.citation.endPage | 90 | - |
dc.citation.startPage | 87 | - |
dc.citation.title | 21st International Conference on Control, Automation and Systems, ICCAS 2021 | - |
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