Talks and Poster Presentations (with Proceedings-Entry):
G. Reise, G. Matz:
"Clustered Wireless Sensor Networks for Robust Distributed Field Reconstruction Based on Hybrid Shift-Invariant Spaces";
Poster: IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC),
- 06-24-2009; in: "IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)",
We develop a clustered architecture for wireless sensor networks
in order to perform distributed reconstruction of physical fields
with low communication overhead. To this end, we introduce hybrid shift-invariant spaces which extend conventional shift-invariant spaces and allow for localized field reconstruction with a computational complexity that is linear in the number of sensors. Compared to our previous work, this approach allows adaptation to portions of the field with different smoothness properties. In addition, we consider quantized measurements and imperfect knowledge of the sensor positions. Numerical simulations show that our method is robust against such non-idealities and offers significant performance advantages over global reconstruction.
Wireless sensor network, field reconstruction, shift-invariant space, B-splines
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.