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
Electronics
Distributed state-estimation
Kalman filter
Wireless sensor networks
Benchmarking
Control theory
Cost effectiveness
Network protocols
Sensor networks
Control applications
Estimation 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