UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

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Author: search.filters.author.Chen, YingyongSubject: search.filters.subject.Routing

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    MAXIMIZING DATA DOWNLOAD CAPABILITIES FOR FUTURE CONSTELLATION SPACE MISSIONS
    (2004-07-27) Chen, Yingyong; Baras, John S; Hadjitheodosiou, Michael; Electrical Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    We outline the first step toward the development of a unified space communication network approach, offering more flexibility, robustness, expandability and compatibility with terrestrial networks. The aim is to maximize the data download capabilities of future missions while reducing the development and operational costs. We introduce the current State-of-the-Art in space communications, present the benefits of a unified approach and discuss some challenges that need to be addressed to enable this transition. We focus on developing a suitable dynamic routing algorithm and a reconfigurable simulation framework. A case study on the Magnetospheric Multi-Scale constellation mission shows that both NASAs Deep Space Network and some commercial ground facilities can provide sufficient coverage for this mission and demonstrates the benefits of a unified space network. We also demonstrate the usefulness of a modular simulation framework as a low-cost but powerful tool for evaluating the performance of protocols and architectures in this environment.