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.
A wireless sensor network (WSN) is considered to have a wide application prospect in a smart distribution network due to its unique low power consumption, fast self-organization, and superior coordination. In order to study the communication MWSN data transmission mechanism based on a wireless sensor network, the difficulty of applying a wireless sensor network to an intelligent distribution network communication is to meet the real-time and reliability requirements of power industry distribution network data communication specifications under the limited network resources. Firstly, the transmission probability is calculated by considering the path loss, the speed of the node, the direction of the node, and the residual energy of the node. In addition, the transmission and replacement order of the message is determined according to the survival time of the data message. Simulation experiments are carried out on MATLAB. The result shows the proposed routing algorithm, compared with the DT algorithm, flooding algorithm, and FAD algorithm, the delivery rate of data messages is increased by at least 6%, and the number of copies is reduced by at least 10% compared with the flooding algorithm and the FAD algorithm. On the basis of satisfying the mobility of sink nodes, the algorithm proposed in this paper can effectively save network energy consumption and prolong the network lifetime.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.