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Agnostic diagnosis: Discovering silent failures in wireless sensor networks
2011
2011 Proceedings IEEE INFOCOM
In wireless sensor networks (WSNs), diagnosis is a crucial and challenging task due to the distributed nature and stringent resources. Most previous approaches are supervised, relying on a-priori knowledge of network faults. On the other hand, our experience with GreenOrbs, a long-term large-scale WSN system, reveals the need of diagnosis in an agnostic manner. Specifically, in addition to predefined faults (i.e., with known types and symptoms), silent failures that are unknown beforehand,
doi:10.1109/infcom.2011.5934945
dblp:conf/infocom/MiaoLHLP11
fatcat:av6iu3mtfzftzhlw5nhierksfy