期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305104
出版社：S&S Publications
摘要：Cognitive radio technology is a low cost communication system. The main reason of choosing thecognitive system is that it prevents the interfering of licensed and authorised users; by choosing the availablefrequencies and waveforms automatically Today the development of the new radio technologies is limited because ofthe available radio spectrum. But the spectrum sensing is the vital technology in the radio networks. It enhances thespectral efficiency by filling the wireless spectrum voids.The code is written for cognitive radio architecture. In thisarchitecture, a maximum of 300 nodes is taken as an architectural network. The aim of this work is to find thesecondary users if the primary user is unable to transfer the data load which is provided to it. The problem of searchinga secondary node is quite common in terms of cognitive radio networks. An optimal search method has been optedusing GENETIC ALGORITHM. The genetic algorithm has three phases namely, Mutation – Cross-over, ObjectiveFunction and the fitness function .The mutation checks when the state of a node in the network changes. First of allnode ids of all the nodes in the network is created .Further more if any id is repeated in the sequence , it is changedaccordingly . When the data transfer comes into action and the primary user is not able to take the data load, Geneticalgorithm is called, on the basis of the energy of the nodes, which are getting transferred from one end to another end.If the energy of the searched node is less than that of the threshold of the entire network then it is added to the objectivefunction list else the node is ignored. The whole simulation is done in MATLAB 7.10 environment
