A reconfiguration framework for self-organizing distributed state estimators
conference paper
A sensor network operating under changing operational conditions will have to adapt to its environment, topology and system performance. In order to obtain this flexible behavior, a reconfiguration framework is proposed for distributed signal processing solutions. The considered example in this article is distributed Kalman filtering, whereas the reconfiguration framework is based on a first order logic reasoner to find a feasible configuration in a dynamic execution context. In a simulated scenario of a greenhouse temperature field estimation, the proposed system can minimize the state estimation error, while satisfying the systems constraints such as battery life, communication bandwidth or reliability and timeliness of response
Topics
TNO Identifier
472890
Source title
Proceedings of the 16th International Conference on Information, Fusion Fusion ’13, 9-12 July 2013, Istanbul, Turkey
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