Poster abstract: Distributed fault detection using a recurrent neural network

2009 International Conference on Information Processing in Sensor Networks, IPSN 2009

Volumn , Issue , 2009, Pages 373-374

  Obst, Oliver ^a  

^a CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CRITICAL ISSUES; DISTRIBUTED COMPUTATIONS; FAILED NODES; LEARNING METHODS; LINK QUALITY; LOCAL COMMUNICATIONS; SPATIOTEMPORAL CORRELATION;

DATA PROCESSING; FAULT DETECTION; RECURRENT NEURAL NETWORKS;

SENSOR NETWORKS;

EID: 71049126914     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. P. Corke, P. Valencia, P. Sikka, T. Wark, and L. Overs. Long-duration solar-powered wireless sensor networks. In EmNets '07: Proceedings of the 4th workshop on Embedded networked sensors, pages 33-37, 2007.
2. H. Jaeger. Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the echo state network approach. GMD Report 159, Fraunhofer AIS, 2002.
3. H. Jaeger and H. Haas. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication. Science, 304(5667):78-80, 2004.
4. Macquarie University, Sydney. Automatic weather station of the Department of Physical Geography. Web page: http://aws.mq.edu.au/, 2008. Last checked: 3. Oct. 2008.