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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