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基于G遗传算法的认知无线电传感技术优化

摘要

认知无线电技术是一种低成本的通信系统。选择认知系统的主要原因是它可以防止许可和授权用户的干扰;今天，由于可用的无线电频谱，新的无线电技术的发展受到限制。而频谱感知是无线网络中的关键技术。它通过填补无线频谱空缺来提高频谱效率。代码是为认知无线电架构编写的。在这种架构中，一个架构网络的节点数量不超过300个。这项工作的目的是，如果主要用户无法传输提供给它的数据负载，则查找次要用户。在认知无线电网络中，搜索辅助节点的问题非常常见。利用遗传算法选择了一种最优搜索方法。遗传算法分为三个阶段，即突变-交叉、目标函数和适应度函数。突变检测网络中节点状态的变化。 First of all node ids of all the nodes in the network is created .Further more if any id is repeated in the sequence , it is changed accordingly . When the data transfer comes into action and the primary user is not able to take the data load, Genetic algorithm 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 objective function list else the node is ignored. The whole simulation is done in MATLAB 7.10 environment

最高考尔，Inderdeep Kaur Aulakh

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