Discrete quality factors aware channel scheduling in Cognitive Radio Ad-hoc Networks

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...

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Bibliographic Details
Published in:Journal of ambient intelligence and humanized computing 2021-10, Vol.12 (10), p.9097-9110
Main Authors: Dasari, Ramesh, Venkatram, N.
Format: Article
Language:English
Subjects:
Access control
Ad hoc networks
Algorithms
Artificial Intelligence
Channels
Cognitive radio
Communication
Computational Intelligence
Data transmission
Engineering
Optimization
Original Research
Q factors
Robotics and Automation
Scheduling
Spectrum allocation
User Interfaces and Human Computer Interaction
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Summary: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.
ISSN:1868-5137
1868-5145
DOI:10.1007/s12652-020-02607-6