Abstract:Uncertain time-delay for transmitted information is often induced from local sensors to fusion node across wireless sensor networks with network constraints, and it easily results in the out-of-sequence phenomenon. Accordingly, the conventional information fusion methods are faced with difficulties and challenges. In this paper, the optimal distributed fusion for the “Out-Of-Sequence” Estimate (OOSE) information systems is studied for multisensor systems with synchronous samples and arbitrary random delay. As a result, a novel universal optimal OOSEs fusion algorithm is presented. Compared to the current “Out-Of-Sequence” Measurement (OOSM) fusion methods under the centralized estimate frame, the proposed OOSEs fusion algorithm has the outstanding advantages on fusion precision, algorithm complexity and computational efficiency etc... Brief analysis and simulations both show its validity and superiority.