Articles with "rl4dtn learning" as a keyword



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rl4dtn: Q-Learning for Opportunistic Networks

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Published in 2022 at "Future Internet"

DOI: 10.3390/fi14120348

Abstract: Opportunistic networks are highly stochastic networks supported by sporadic encounters between mobile devices. To route data efficiently, opportunistic-routing algorithms must capitalize on devices’ movement and data transmission patterns. This work proposes a routing method based… read more here.

Keywords: network; rl4dtn learning; opportunistic networks; learning opportunistic ... See more keywords