Online Extreme Learning on Fixed-Point Sensor Networks

@article{Bosman2013OnlineEL,
  title={Online Extreme Learning on Fixed-Point Sensor Networks},
  author={H. J. Bosman and A. Liotta and Giovanni Iacca and H. W{\"o}rtche},
  journal={2013 IEEE 13th International Conference on Data Mining Workshops},
  year={2013},
  pages={319-326}
}
Anomaly detection is a key factor in the processing of large amounts of sensor data from Wireless Sensor Networks (WSN. [...] Key Method To overcome the stability issues introduced by the fixed precision, we apply correction mechanisms previously proposed for Recursive Least Squares (RLS). The proposed implementation is tested extensively with generated and real-world datasets, and compared with RLS, Linear Least Squares Estimation, and a rule-based method as benchmarks. The methods are evaluated on the…Expand
19 Citations
Online Fusion of Incremental Learning for Wireless Sensor Networks
  • 14
  • PDF
Ensembles of incremental learners to detect anomalies in ad hoc sensor networks
  • 37
  • PDF
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance
  • 24
  • PDF
OS-ELM-FPGA: An FPGA-Based Online Sequential Unsupervised Anomaly Detector
  • 7
  • PDF
A Survey of Anomaly Detection in Industrial Wireless Sensor Networks with Critical Water System Infrastructure as a Case Study
  • 51
  • PDF
Density Based Multisensor Data Fusion for Multiapplication Wireless Sensor Networks
  • C. M. Farias, L. Pirmez, Flávia Coimbra Delicato
  • Computer Science
  • 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
  • 2018
  • 2
A multisensor data fusion algorithm using the hidden correlations in Multiapplication Wireless Sensor data streams
  • 8
...
1
2
...

References

SHOWING 1-10 OF 37 REFERENCES
Anomaly Detection in Sensor Systems Using Lightweight Machine Learning
  • 24
  • PDF
Mote-Based Online Anomaly Detection Using Echo State Networks
  • 30
  • PDF
Ensemble based sensing anomaly detection in wireless sensor networks
  • 48
  • PDF
Online anomaly detection for sensor systems: A simple and efficient approach
  • 81
  • PDF
Anomaly detection in wireless sensor networks: A survey
  • 279
Wireless Sensor Network Anomalies: Diagnosis and Detection Strategies
  • 80
  • PDF
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
  • 1,467
  • Highly Influential
  • PDF
Extreme learning machine: a new learning scheme of feedforward neural networks
  • G. Huang, Qin-Yu Zhu, C. Siew
  • Computer Science
  • 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)
  • 2004
  • 2,915
  • PDF
Extreme learning machine: Theory and applications
  • 7,858
  • PDF
...
1
2
3
4
...