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27 April 2020 Multi-autonomous robot enhanced mobile ad-hoc network under uncertain and vulnerable environment (Conference Presentation)
Ming Feng, Hao Xu
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Proceedings Volume 11426, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations; 1142603 (2020) https://doi.org/10.1117/12.2556226
Event: SPIE Defense + Commercial Sensing, 2020, Online Only
Abstract
This paper studies the problem of real-time routing in a multi-autonomous robot enhanced network at the uncertain and vulnerable tactical edge. In practical harsh environment such as a battlefield, the uncertainty of social mobility and complexity of vulnerable environment due to unpredictable physical and cyber-attacks from the enemy would seriously affect the effectiveness and practicality of these emerging network protocols. This paper presents a GT-SaRE-MANET (Game-Theoretic Situation-aware Robot Enhanced Mobile Ad-hoc Network) routing protocol that adopts the online reinforcement learning technique to supervise the mobility of multi-robots as well as handle the uncertainty and potential physical and cyber-attack at the tactical edge. The proposed design can better support the virtual, augmented, and mixed reality technology in the future battlefield.
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Ming Feng and Hao Xu "Multi-autonomous robot enhanced mobile ad-hoc network under uncertain and vulnerable environment (Conference Presentation)", Proc. SPIE 11426, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations, 1142603 (27 April 2020); https://doi.org/10.1117/12.2556226
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KEYWORDS
Algorithm development
Computer aided design
Computer simulations
Mixed reality
Mobile communications
Social networks
Virtual reality
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