Title :
Distributed representation of spatial fields through an adaptive interpolation scheme
Author_Institution :
Univ. of California, San Diego
Abstract :
We present a procedure to adapt an interpolation scheme to represent spatial fields as they are measured by a mobile sensor network. The procedure incorporates new sensor (synchronous) measurements in a similar fashion to a Kalman filter-like recursion. Using ideas from distributed consensus algorithms, we show how the scheme corresponding to nearest-neighbor interpolations admits decentralization over a directed proximity graph related to the Delaunay graph.
Keywords :
Kalman filters; decentralised control; graph theory; interpolation; multi-robot systems; remotely operated vehicles; sensor fusion; Delaunay graph; Kalman filter-like recursion; adaptive interpolation scheme; distributed consensus algorithms; distributed representation; mobile sensor network; nearest-neighbor interpolations; Aerosols; Atmospheric measurements; Cities and towns; Interpolation; Kalman filters; Pollution measurement; Programmable control; Sea measurements; Sensor fusion; Unmanned aerial vehicles;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282276
