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Discrete quality factors aware channel scheduling in Cognitive Radio Ad-hoc Networks
Journal of Ambient Intelligence and Humanized Computing Pub Date : 2021-01-15 , DOI: 10.1007/s12652-020-02607-6
Ramesh Dasari , N. Venkatram

The Recurrent Transmission Ratio (RTR), considered as confine for Cognitive Radio Ad-hoc Networks (CRAN), has attracted several researchers’ in the recent past. Among the manifold practices that are trying to lessen the RTR, the CRAN is one of the dimensions. The transmission scheduling channels and allocation of the suitable channel are the essential objectives for attaining CRAN concerning to reduce the ratio of data packet drop. Most of the scheduling methods represented in the existing literature targeted to attain optimal scheduling by choosing the channels have based on optimal idle time utilization. Few of the contributions try to choose channels by any quality metrics, and remarkably less amount of contributions endeavoured on the allocation of a channel for lessening the RTR under discrete quality factors. In respect to, here, this manuscript tried to attain optimal allocation of a channel under discrete quality factors (DQFACS)”. The simulation study conducted through the experiments exhibited that the suggested method DQFACS augmented the data transmission optimality by an allocation of the optimal channel under discrete quality factors compared to the contemporary methods.



中文翻译:

认知无线电自组织网络中离散质量因子感知信道调度

循环传输率(RTR)被认为是认知无线电自组织网络(CRAN)的局限性,最近吸引了一些研究人员。在试图减少RTR的多种实践中,CRAN是其中之一。传输调度信道和适当信道的分配是获得有关降低数据分组丢弃率的CRAN的基本目标。现有文献中表示的旨在通过选择信道来获得最佳调度的大多数调度方法都基于最佳的空闲时间利用。很少有贡献试图通过任何质量指标来选择渠道,并且在分配信道以减少离散质量因数下的RTR方面所做的贡献明显更少。关于这里 该手稿试图在离散质量因子(DQFACS)下获得最佳的通道分配。” 通过实验进行的仿真研究表明,与现代方法相比,建议的方法DQFACS通过在离散质量因数下分配最佳信道来提高数据传输的最优性。

更新日期:2021-01-15
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