Maximum Mutual Information Based Sensor Selection Algorithm

Maximum Mutual Information Based Sensor Selection Algorithm 

The algorithm employed by a sensor for tracking targets in a collaborative manner within the distributed data fusion framework is depicted in Fig. 7. The information state and the information matrix are defined by (5). The predicted information state and the information matrix are computed by (7). The sensor s current belief is updated by its own 

Active participation to the current cycle is decided based on the mutual information gained with the last observation. This event can be formulated as 

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