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Distributed data fusion application in Wireless Sensor Networks is very promising, because the change from centralized model to distributed model will average the computation of data fusion algorithm consequently average power consumption in sink node and more importantly placement data fusion functions in networks will decrease data transmission cost and sink node can easily and efficiently re-task...
Multi-sensor was needed while using data fusion technique in wireless sensor networks. A data fusion algorithm of single sensor was proposed in the paper. With recursive least square method in the algorithm, the dynamic model of sensor was built up, and the achievement of data fusion between sensor's measure value and estimate value increased the measure precision. Simulation results show that the...
In this paper we consider state estimation carried over a sensor network. A fusion center forms a local multi-hop tree of sensors and gateways and fuses the data into a state estimate. It is shown that the optimal estimator over a sensor tree is given by a Kalman filter of certain structure. The number of hops that the sensors use to communicate data with the fusion center is optimized such that either...
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