Title :
An overview of non-centralized Kalman filters
Author :
Sijs, J. ; Lazar, M. ; van den Bosch, P.P.J. ; Papp, Z.
Author_Institution :
TNO Sci. & Ind., Delft
Abstract :
The usage of wireless sensor networks (WSNs) for state-estimation has recently gained increasing attention due to its cost effectiveness and feasibility. One of the major challenges of state-estimation via WSNs is the distribution of the centralized state-estimator among the nodes in the network. Significant emphasis has been on developing non-centralized state-estimators considering communication, processing-demand and estimation-error. This survey paper presents different methodologies to obtain non-centralized state-estimators and focuses on the estimation algorithms and their implementation. The temperature distribution of a bar is used as a benchmark to assess the non-centralized state-estimators in terms of estimation-error and communication requirements.
Keywords :
Kalman filters; state estimation; temperature distribution; wireless sensor networks; bar temperature distribution; estimation-error; noncentralized Kalman filters; noncentralized state-estimators; wireless sensor networks; Area measurement; Communication system control; Control systems; Costs; Filters; Monitoring; State estimation; Temperature distribution; USA Councils; Wireless sensor networks; Kalman filter; Wireless Sensor Networks; distributed state-estimation;
Conference_Titel :
Control Applications, 2008. CCA 2008. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2222-7
Electronic_ISBN :
978-1-4244-2223-4
DOI :
10.1109/CCA.2008.4629588
