Data Fusion in Sensor Networks
Distributed sensor fusion
Data fusion in sensor networks is defined as the set of algorithms, processes, and protocols that combine data from multiple sensors. The goal may be to extract information not readily apparent in an individual sensor’s data, improve the quality of information compared to that provided by any individual data, or improve the operation of the network by optimizing usage of its resources.
For instance, the output of a magnetic sensor and an audio sensor may be combined to detect a vehicle (new information), outputs of multiple vibration sensors may be combined to increase the signal to noise ratio (improving quality), or a passive infrared sensor may be combined with a camera in a people detection network to reduce the frame-rate of the camera for conserving energy (improving operation).
The sensors fused may be of the same or different types. Key features of data fusion in sensor networks, that distinguish it from other methods to combine...
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