The management of heterogeneous distributed sensor networks requires new solutions that can address the problem of\nautomatically fusing the information coming from different sources in an efficient and effective manner. In the literature it is possible\nto find different types of data fusion and information fusion techniques in use today, but it is still a challenge to obtain systems\nthat allow the automation or semi automation of information processing and fusion. In this paper, we present a multiagent system\nthat based on the organizational theory proposes a new model to automatically process and fuse information in heterogeneous\ndistributed sensor networks. The proposed architecture is applied to a case study for indoor location where information is taken\nfrom different heterogeneous sensors.
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