Graph Spectral Compressed Sensing for Sensor Networks

For many Wireless Sensor Network (WSN) applications, the signals measured are likely to be correlated either spatially or temporally; i.e., the authors can find an appropriate transform domain where the signals are compressible. WSNs are characterized by having simple battery-powered wireless nodes with limited energy and communication resources. In order to reduce power consumption and conserve bandwidth (or query latency), it is desirable to apply the philosophy of compressed sensing whereby they directly gather a reduced number of informative measurements rather than gathering a large number of redundant measurements.

Provided by: McGill University Topic: Mobility Date Added: Sep 2011 Format: PDF

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