Print Email Facebook Twitter An overview of non-centralized Kalman filters Title An overview of non-centralized Kalman filters Author Sijs, J. Lazar, M. van den Bosch, P.P.J. Papp, Z. TNO Industrie en Techniek Publication year 2008 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. © 2008 IEEE. Subject ElectronicsDistributed state-estimationKalman filterWireless sensor networksBenchmarkingControl theoryCost effectivenessNetwork protocolsSensor networksControl applicationsEstimation algorithms To reference this document use: http://resolver.tudelft.nl/uuid:20cccc7e-4bd3-4f68-86ac-3b2b7850ee41 TNO identifier 241062 ISBN 978142442223 Source 17th IEEE International Conference on Control Applications, CCA, 3-5 September 2008, San Antonio, TX, USA. Conference code: 73846, 739-744 Series Proceedings of the IEEE International Conference on Control Applications Article number No.: 4629588 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.