Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
Impact of radio irregularity on wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Sympathy for the sensor network debugger
Proceedings of the 3rd international conference on Embedded networked sensor systems
In-Network Outlier Detection in Wireless Sensor Networks
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Online outlier detection in sensor data using non-parametric models
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Improving wireless simulation through noise modeling
Proceedings of the 6th international conference on Information processing in sensor networks
Outlier detection in sensor networks
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Self-monitoring of wireless sensor networks
Computer Communications
Meteorology and hydrology in Yosemite national park: a sensor network application
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Fault management in wireless sensor networks
IEEE Wireless Communications
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
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Increased interest in wireless sensor networks by scientists and engineers is forcing wireless sensor networking research to focus on application requirements. Data is available as never before in many fields of study; practitioners are now burdened with the challenge of doing data-rich research rather than being data-starved. However, in situ sensors can be prone to errors, links between nodes are often unreliable, and nodes may become unresponsive in harsh environments, leaving to researchers the onerous task of deciphering often anomalous data. Presented here is the REDFLAG fault detection service for wireless sensor applications, a Run-timE, Distributed, Flexible, detector of faults, that is also Lightweight And Generic. REDFLAG addresses the two most worrisome issues in data-driven wireless sensor applications: abnormal data and missing data. REDFLAG exposes faults as they occur by using distributed algorithms in order to conserve energy. Simulation results show that REDFLAG is lightweight both in terms of footprint and required power resources while ensuring satisfactory detection and diagnosis accuracy. Being unrestrictive, REDFLAG is generically available to a myriad of applications and scenarios. As a matter of fact, REDFLAG has been applied into a subsurface contaminant transport model to improve the model performance in the presence of erroneous sensor data.