TY  - CHAP
AU  - Joaquín Míguez
AU  - Luis Arnaiz
AU  - Antonio Artés-Rodríguez
ED  - Nada Milisavljevic
Y1  - 2009-02-01
PY  - 2009
T1  - Monte Carlo Methods for Node Self-Localization and Nonlinear Target Tracking in Wireless Sensor Networks
N2  - Data fusion is a research area that is growing rapidly due to the fact that it provides means for combining pieces of information coming from different sources/sensors, resulting in ameliorated overall system performance (improved decision making, increased detection capabilities, diminished number of false alarms, improved reliability in various situations at hand) with respect to separate sensors/sources. Different data fusion methods have been developed in order to optimize the overall system output in a variety of applications for which data fusion might be useful: security (humanitarian, military), medical diagnosis, environmental monitoring, remote sensing, robotics, etc.
BT  - Sensor and Data Fusion
SP  - Ch. 25
UR  - https://doi.org/10.5772/6592
DO  - 10.5772/6592
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -