A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf
.
Selecting reliable sensors via convex optimization
2010
2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
One of the key challenges in sensor networks is the extraction of trusted and relevant information by fusing data from a multitude of heterogeneous, distinct, but possibly unreliable or irrelevant sensors. Recovering the desirable view of the environment from the maximum number of dependable sensors while specifying the unreliable ones is an issue of paramount importance for active sensing and robust operation of the entire network. This problem of robust sensing is formulated here, and proved
doi:10.1109/spawc.2010.5670891
fatcat:7mgewbww4bbozp7mai7ocawery