Reduction of large set data transmission using algorithmically corrected model-based techniques for bandwidth efficiency.

摘要

Communication requirements and demands on deployed systems are increasing daily. This increase is due to the desire for more capability, but also, due to the changing landscape of threats on remote vehicles. As such, it is important that we continue to find new and innovative ways to transmit data to and from these remote systems, consistent with this changing landscape. Specifically, this research shows that data can be transmitted to a remote system effectively and efficiently with a model-based approach using real-time updates, called Algorithmically Corrected Model-based Technique (ACMBT), resulting in substantial savings in communications overhead.;To demonstrate this model-based data transmission technique, a hardware-based test fixture was designed and built. Execution and analysis software was created to perform a series of characterizations demonstrating the effectiveness of the new transmission method. The new approach was compared to a traditional transmission approach in the same environment, and the results were analyzed and presented.;A Figure of Merit (FOM) was devised and presented to allow standardized comparison of traditional and proposed data transmission methodologies alongside bandwidth utilization metrics. The results of this research have successfully shown the model-based technique to be feasible. Additionally, this research has opened the trade space for future discussion and implementation of this technique.