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Smart Routing with Learning-Based QoS-Aware Meta-strategies

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Quality of Service in the Emerging Networking Panorama (WQoSR 2004, QofIS 2004, ICQT 2004)

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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© 2004 Springer-Verlag Berlin Heidelberg

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Zhang, Y., Fromherz, M.P.J., Kuhn, L.D. (2004). Smart Routing with Learning-Based QoS-Aware Meta-strategies. In: Solé-Pareta, J., et al. Quality of Service in the Emerging Networking Panorama. WQoSR QofIS ICQT 2004 2004 2004. Lecture Notes in Computer Science, vol 3266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30193-6_30

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  • DOI: https://doi.org/10.1007/978-3-540-30193-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23238-4

  • Online ISBN: 978-3-540-30193-6

  • eBook Packages: Springer Book Archive

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