A fuzzy logic approach to cross-layer route optimization in multi-hop CRNs
Robert W. Murawski, Eylem Ekici, Ryan W. Thomas · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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.