Secured Emergency Based Adaptive Batch and Fuzzy Inference System Management in Cognitive Radio

Background: Cognitive Radio (CR) is an intelligent Software Defined Radio (SDR). The CR technology facilitates spectrum reuse and assuages spectrum chomp. Effective spectrum sensing confirms cognitive radio users resourcefully using the under-utilized frequency band without triggering destructive interference to primary users. Recently CR plays a vital role in the development of unguided communications system. Materials and Methods: This study examines the use of adaptive batch testing to find the spectrum holes of a specified bandwidth in a given Wide Band (WB) of interest and also designed a crisis based adaptive batch and Fuzzy Inference System (FIS) management in CR. Results: In place of testing and allocating a single slot for a user, this method can accommodate N number of users in a set of band during emergency conditions. The FIS is used to estimate the channel condition by analyzing the four parameters like signal power, speed, remoteness and effectiveness. Conclusion: The proposed system reduces the average sensing time, management time as a function of SNR. Number of users and the efficiency is also high when more number of users was managed at same time.