Cognitive Radio Spectrum Allocation Based on IOT and genetic algorithm

Abstract

This paper presents an overview of Cognitive Radio Spectrum Allocation Based on IoT and Genetic Algorithm (CRSAA). CRSAA was created to solve the problem of spectrum allocation in Cognitive Radio Networks (CRN). The main focus is on how to allocate cognitive radios based on IoT services. CRSAA introduces a novel Genetic Algorithm (GA) and an Internet of Things (IoT) system. GA is the core algorithm that deals with the task of how to allocate spectrum channels. A theoretical model shows that CRSAA can improve the total throughput and reduce the power consumption of CRN by 50% when compared to traditional Spectrum Sensing techniques. The traditional particle swarm optimization algorithm is improved, and the initial population is constructed by chaotic logic mapping so that the population is uniformly distributed in the solution space. Due to the introduction of the idea of particle mutation, the new algorithm is easier to fall into the local extremum than the original algorithm. Experimental results show that the algorithm can quickly converge to the spectrum allocation of cognitive radio, thus obtaining better overall benefits.