科技报告详细信息
Cognitive Communications and Networking Technology Infusion Study Report
Knoblock, Eric J
关键词: ARTIFICIAL INTELLIGENCE;    MACHINE LEARNING;    AUTONOMY;    COGNITION;    DATA PROCESSING;    EFFICIENCY;    RELIABILITY;    SERVICE ORIENTED ARCHITECTURE;    NETWORKS;   
RP-ID  :  NASA/TM-2019-220193,E-19695
学科分类:人工智能
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

As the envisioned next-generation SCaN Network transitions into an end-to-end “system of systems” with new enabling capabilities, it is anticipated that the introduction of machine learning, artificial intelligence, and other cognitive strategies into the network infrastructure will result in increased mission science return, improved resource efficiencies, and increased autonomy and reliability. This enhanced set of cognitive capabilities will be implemented via a “space cloud” concept to achieve a service-oriented architecture with distributed cognition, de-centralized routing, and shared, on-orbit data processing. The enabling cognitive communications and networking capabilities that may facilitate the desired network enhancements are identified in this document, and the associated enablers of these capabilities, such as technologies and standards, are described in detail.

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