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Neural based sensor signal change detection by using radial bias function.
| Content Provider | CiteSeerX |
|---|---|
| Author | Kaur, Ramanpreet Singh, Jaspal |
| Abstract | The paper describes the basic techniques involved on the detection of sensor signal changes, and describes their possible implementation on the lower level in sensor networks. Embedded into the communication protocols, the signal change detection will allow data compression for improving network efficiency. It might enhance reliability and security also. The algorithms utilizes a neural network function prediction methodology in order to determine if the sensor signals have changed. The literature survey is done and the different algorithms are studied based on their performance and parameter choice and the relationship between the threshold values and false positive and negative rates are studied the basis algorithms involved in this work are MLP |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Sensor Signal Change Detection Radial Bias Function Basis Algorithm Communication Protocol Data Compression Literature Survey Network Efficiency Signal Change Detection Threshold Value Negative Rate Possible Implementation Sensor Signal Different Algorithm Sensor Network Parameter Choice Basic Technique Sensor Signal Change Neural Network Function Prediction Methodology |
| Content Type | Text |
