Presentation + Paper
12 April 2021 Learning-aided SDC control in mobile ad hoc networks
Qiaofeng Qin, Konstantinos Poularakis, Andreas Martens, Kevin S. Chan, Leandros Tassiulas
Author Affiliations +
Abstract
Software Defined Coalition (SDC) is a promising architecture for flexibly controlling network resources in tactical environments. In highly dynamic mobile ad hoc network scenarios, however, the SDC controllers may be fragmented from the mobile nodes they manage rendering impossible their in-time resource reconfiguration and causing severe network performance degradation. To address this challenge, we explore the idea of complementing the SDC controllers with distributed control mechanisms running locally at the mobile nodes in a hybrid architecture design. We then apply learning methods to predict the network dynamics and fragmentation events, so that we can tune the routing policies in time to prevent network failures from happening. We show the benefits of our hybrid approach in a demo emulating a real tactical ad hoc network scenario using the Anglova tactical ad hoc network dataset.
Conference Presentation
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Qiaofeng Qin, Konstantinos Poularakis, Andreas Martens, Kevin S. Chan, and Leandros Tassiulas "Learning-aided SDC control in mobile ad hoc networks", Proc. SPIE 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 117461T (12 April 2021); https://doi.org/10.1117/12.2588606
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KEYWORDS
Computer architecture

Network architectures

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