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28 April 2010 A fuzzy logic approach to cross-layer route optimization in multi-hop CRNs
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Abstract
Methods for selection and optimizing the selection of end-to-end network paths is crucial to offer any degree of quality of service to end users. In many wireless networks, route selection is based in a single route metric. When considering multi-hop cognitive radio networks (CRNs), in which frequent link outages are expected due to primary user interference, we must consider more metrics to ensure not only that routes are of sufficient quality, but have an reasonable expectation of availability. In this paper, we propose the use of fuzzy-logic modeling to optimize route selection based on a set of collected cross-layer information.
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Robert Murawski, Eylem Ekici, and Ryan W. Thomas "A fuzzy logic approach to cross-layer route optimization in multi-hop CRNs", Proc. SPIE 7707, Defense Transformation and Net-Centric Systems 2010, 770709 (28 April 2010); https://doi.org/10.1117/12.853624
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