Mobile Sensor Routing for Parameter Estimation of Distributed Systems Using the Parallel Tunneling Method

Authors:
Tomasz Zięba;Dariusz Uciński
Affiliations:
Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland;Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland
Venue:
International Journal of Applied Mathematics and Computer Science - Selected Problems of Computer Science and Control
Year:
2008

Citing 8
Cited 1

Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing

Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
The parallel tunneling method

Parallel Computing - Special issue: Parallel computing in numerical optimization
Wireless Sensor Networks: An Information Processing Approach

Wireless Sensor Networks: An Information Processing Approach
Scientific Parallel Computing

Scientific Parallel Computing
D-optimal design of a monitoring network for parameter estimation of distributed systems

Journal of Global Optimization
Detection and localization of vapor-emitting sources

IEEE Transactions on Signal Processing
Localizing vapor-emitting sources by moving sensors

IEEE Transactions on Signal Processing
Landmine detection and localization using chemical sensor arrayprocessing

IEEE Transactions on Signal Processing

On Computation of the Design Function Gradient for the Sensor-Location Problem in Variational Data Assimilation

SIAM Journal on Scientific Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper deals with the problem of optimal path planning for a sensor network with mutliple mobile nodes, whose measurements are supposed to be primarily used to estimate unknown parameters of a system modelled by a partial differential equation. The adopted framework permits to consider two-or three-dimensional spatial domains and correlated observations. Since the aim is to maximize the accuracy of the estimates, a general functional defined on the relevant Fisher information matrix is used as the design criterion. Central to the approach is the parameterization of the sensor trajectories based on cubic B-splines. The resulting finite-dimensional global optimization problem is then solved using a parallel version of the tunneling algorithm. A numerical example is included to clearly demonstrate the idea presented in the paper.