Novel Cognitive Radio Framework for Optimized Resource Management over IoT Ecosystem

Adoption of Cognitive Radio Network (CRN) is increasing owing to its potential facilitation towards accessibility of data services in wireless network. It is considered as an integral part of IoT system which demands faster connectivity with better admission control. However, IoT system has massive number of connected users with both home access point and core base station and it is quite resource consuming in order to relay the data communication even using 5G over IoT. Therefore, this paper introduces a very simple and novel mechanism for resource management in CRN particularly targeting to large scale IoT environment. This analytical model is implemented in MATLAB considering a standard simulation parameter, where the outcome shows that proposed system offers better throughput in less time in contrast to existing channel assignment approaches towards resource management in CRN.