Smart Routing with Learning-based QoS-aware Routing Strategies

Ying Zhang, Markus P.J. Fromherz, and Lukas D. Kuhn

Abstract

Conventional Quality of Service (QoS) routing cannot be applied easily to wireless ad-hoc sensor networks due to the unreliable and dynamic nature of such networks. For these networks, we have proposed a framework of Message-initiated Constraint-Based Routing (MCBR), which consists of a QoS specification and a set of QoS-aware meta-strategies. In contrast to most existing ad-hoc routing with no QoS support, MCBR is able to take QoS specifications into account. In this paper, we focus on learning-based meta-strategies. In contrast to most existing QoS routing approaches, learning-based meta-strategies do not create and maintain explicit routes; instead, packets discover and improve the routes during the search for the destination.

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