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Empirical Data Fusion for Decentralized Detection in Sensors Systems with Sequential Structure

The decentralized detection problem in wireless sensor network with sequential structure is considered. We propose a new empirical data fusion scheme. This scheme is investigated with assumption of spatially and temporally identically and independently distributed observations and individual energy consumption constraint. The influence of multiple access channel noises is studied. The detection performance is compared with other schemes of data fusion. Asymptotical optimality of this scheme which is achieved without utilization of the event probabilistic model in sensors is shown