Prediction of Cognitive Radio Networks (CNRs) Using COPRAS

Abstract

"Cognitive Radio (CR) is a wireless form of communication in which a transceiver can intellectually discover which communication channels are in use and which are not. It avoids occupied channels and moves immediately to empty channels without disrupting licensed users. Cognitive sensor networks are capable of intelligently and automatically sensing localized environmental information through the deployment of multiple sensors. Fuzzy COPRAS, using the alternative channel decision, cognitive radio, data trade-off, and multi-criteria decision making (MCTM), is used to evaluate bandwidth, duty cycle, economic cost, and channel termination. The acquisition of data is based on the deployment of multiple sensors, and the result is based on bandwidth and economic cost. The results indicate that economic cost received the lowest rank, while the decision based on bandwidth and economic cost received the top ranking. The COPRAS method is a complex proportionality rating system that was introduced in 1994 by Zavatskas, Kaklauskas, et al. The index increment and decrement effect of attributes is considered separately in the result evaluation. Software-defined radio is the heart of a cognitive radio, and applications that distinguish cognitive radio from software-defined radio require additional hardware in the form of sensors and actuators. This enables more cognitive radio applications, including emergency networks and WLAN high-performance and transfer in spectrum-sensitive cognitive radio, which includes distance extensions. In the alternative decision-making method (MCTM), bandwidth, duty cycle, economic cost, and channel termination are evaluated."