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Data fusion of multi-target tracking in wireless sensor networks. (Chinese. English summary) Zbl 1122.68337
Summary: According to the study on the data fusion problem of multi-target tracking in wireless sensor networks, an improved fuzzy cluster mean algorithm is proposed and the corresponding centralized fusion scheme is provided. Firstly in the algorithm, each batch of sensed data is divided according to association threshold of the estimated position of the tracks. Then the fuzzy association is carried out for the collected data in the track and the corresponding threshold respectively, and the data that has the highest associated degree is assigned to each track and regarded as the practical position. The idea of the data fusion scheme is to delete all data within the association threshold and the track starting module is processed again for the rest of data. Simulation experiments show that the proposed scheme can solve the mistracking and surge problem of multi-target tracking, furthermore, it effectively avoids the problem of missing targets and repeated tracking targets, since the scheme can not only save the usable data but also delete redundant data.
68M10 Network design and communication in computer systems