| Paper: | SPCOM-P3.11 | ||
| Session: | Joint Source/Channel Coding and Quantization | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communications: Compression, Coding, and Modulation | ||
| Title: | A DISTRIBUTED WAVELET COMPRESSION ALGORITHM FOR WIRELESS SENSOR NETWORKS USING LIFTING | ||
| Authors: | Alexandre Ciancio; University of Southern California | ||
| Antonio Ortega; University of Southern California | |||
| Abstract: | We address the problem of compression for wireless sensor networks, where each of the sensors has limited power, and acquires data that should be sent to a remote central node. The final goal is to have a reconstructed version of the sampled field at the central node, with the sensors spending as little energy as possible. We propose a distributed wavelet algorithm, based on the lifting scheme, as a means to decorrelate data at the nodes by exchanging information between neighboring sensors. A key result of our work is that by using a locally adaptive distributed transform it is possible to optimize overall power consumption by operating at the right trade-off point between local processing and transmission costs. | ||
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