The solution of real-time sensor data processing problems with multi-microprocessor architectures of the multiple instruction multiple data stream (MIMD) class is limited by the structure of the interconnection network. A class of real-time sensor processing problems is analyzed to identify required network structures for use in evaluation of candidate interconnection networks. Several fundamental interconnection patterns are identified--macropipeline, K-nearest neighbors, binary search tree, one-n, n-one, one-n with groups of i, and random connection. A general model for a multi-microprocessor testbed is presented, and three candidate interconnection networks--ring, crossbar, and cube--are described for realizing the fundamental structures. Measures are identified for evaluating the candidate networks, and current results of the evaluation are presented.