Spatial filtering in sensor networks using computation codes
Proceedings of the 2007 IEEE Workshop on Statistical Signal Processing (SSP 2007), Madison, Wisconsin, August, 2007.
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Abstract
A data collection problem in sensor networks is formulated in which the number of channel uses per source sample is greater than one. An example of this problem is given in which the objective of the data collector is to compute a filtered and downsampled version of the sensor field. In this regime, it is shown that uncoded transmission is not appropriate and that strategies based on separating source and channel coding perform poorly. By using a novel coding strategy based on computation codes, the power-distortion tradeoff becomes more favorable than that from separation.
Reference
A.D. Sarwate, B. Nazer, and M. Gastpar, Spatial filtering in sensor networks using computation codes, Proceedings of the 2007 IEEE Statistical Signal Processing Workshop (SSP 2007), Madison, WI, August 2007.
BibTeX
@inproceedings{SarwateNG:07spatial,
Address = {Madison, WI},
Author = {A. Sarwate and B. Nazer and M. Gastpar},
Booktitle = {Proceedings of the 2007 IEEE Statistical Signal Processing Workshop},
Month = {August},
Title = {Spatial filtering in sensor networks using computation codes},
Year = {2007}}