A Novel Multi-Criteria Channel Decision in Co-operative Cognitive Radio Network Using E-TOPSIS

In this paper, a novel multi-criteria channel decision model is developed by using the Enhanced Technique for Order Preference by Similarity to Ideal Solution (E-TOPSIS). The proposed model achieves some desirable features that enable channel decision makers to construct complex decision-making problems. It considers multiple factors of each channel and node, thus the channel allocation and sharing in an effective manner. Given novel model provides an effective methodology for cooperative model of CRN (Cognitive Radio Network) and its channel decision making process with cost effective and accuracy. It is well known that the cooperative spectrum sensing has advantage in handling large tasks with less complexity and Protects from fading and shadowing. The proposed model implemented and analyzed well with multilevel comparison.