Model-based reasoning: troubleshooting
Readings in model-based diagnosis
A theory of diagnosis from first principles
Readings in model-based diagnosis
Readings in model-based diagnosis
Sympathy for the sensor network debugger
Proceedings of the 3rd international conference on Embedded networked sensor systems
SeeDTV: deployment-time validation for wireless sensor networks
Proceedings of the 4th workshop on Embedded networked sensors
Visibility: a new metric for protocol design
Proceedings of the 5th international conference on Embedded networked sensor systems
DiMo: distributed node monitoring in wireless sensor networks
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
The hitchhiker's guide to successful wireless sensor network deployments
Proceedings of the 6th ACM conference on Embedded network sensor systems
PermaDAQ: A scientific instrument for precision sensing and data recovery in environmental extremes
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
On the potential of software rejuvenation for long-running sensor network deployments
Proceedings of the 2010 ICSE Workshop on Software Engineering for Sensor Network Applications
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Numerous deployments of Wireless Sensor Networks (WSNs) have shown that intricate problems are introduced by deploying sensor nodes in an unknown and dynamic environment. Consequently, a vital part of a WSN deployment is the supervision of the sensor nodes and detection of abnormalities in their operation. Previous approaches have devised hand-crafted solutions to detect application-specific problems. This work proposes a generic middleware component, named MoMi, to detect such problems in a systematic way. Given a description of normal system behavior MoMi uses a Model-Based Diagnosis (MBD) framework to present the likely causes of system abnormalities to an administrator. This paper demonstrates a proof of concept implementation of MBD on sensor nodes and presents examples of its applicability for typical WSN applications.