Tolerating failures of continuous-valued sensors
ACM Transactions on Computer Systems (TOCS)
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
On Distributed Fault-Tolerant Detection in Wireless Sensor Networks
IEEE Transactions on Computers
Geographic gossip: efficient aggregation for sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
A Pipelined Framework for Online Cleaning of Sensor Data Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
An energy-efficient querying framework in sensor networks for detecting node similarities
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Statistical methods to estimate vehicle count using traffic cameras
Multidimensional Systems and Signal Processing
Distributed faulty sensor detection
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Asynchronous failed sensor node detection method for sensor networks
International Journal of Network Management
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Monitoring its health by detecting its failed sensors is essential to the reliable functioning of any sensor network. This paper presents a distributed, online, sequential algorithm for detecting multiple faults in a sensor network. The algorithm works by detecting change points in the correlation statistics of neighboring sensors, requiring only neighbors to exchange information. The algorithm provides guarantees on detection delay and false alarm probability. This appears to be the first work to offer such guarantees for a multiple sensor network. Based on the performance guarantees, we compute a tradeoff between sensor node density, detection delay and energy consumption. We also address synchronization, finite storage and data quantization. We validate our approach with some example applications.