FaultBit: Generic and Efficient Wireless Fault Detection Using the Internet of Things

dc.contributor.author	Dolui, Koustabh
dc.contributor.author	Thangarajan, Ashok Samraj
dc.contributor.author	Morshchavka, Sergii
dc.contributor.author	Liu, Zhaoyi
dc.contributor.author	Michiels, Sam
dc.contributor.author	Hughes, Danny
dc.date.accessioned	2024-10-13T18:49:34Z
dc.date.available	2024-10-13T18:49:34Z
dc.date.issued	2024
dc.description.wosFundingText	This research is partially funded by the Research Fund KU Leuven (ReSOS, C3/20/014).
dc.identifier.doi	10.1007/978-3-031-63989-0_5
dc.identifier.eisbn	978-3-031-63989-0
dc.identifier.isbn	978-3-031-63988-3
dc.identifier.issn	1867-8211
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/44637
dc.publisher	SPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage	97
dc.source.conference	20th EAI International Conference on Mobile and Ubiquitous Systems - Computing Networking and Services (EAI MobiQuitous)
dc.source.conferencedate	2023-11-14
dc.source.conferencelocation	Melbourne
dc.source.endpage	118
dc.source.journal	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST,volume 593)
dc.source.numberofpages	22
dc.subject.keywords	DIAGNOSIS
dc.subject.keywords	NETWORKS
dc.title	FaultBit: Generic and Efficient Wireless Fault Detection Using the Internet of Things
dc.type	Proceedings paper
dspace.entity.type	Publication
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