Multi-Channel Scheduling with Optimal Spectrum Channel Hole Filling (MCS-OSHF) for Cognitive Radio Wireless Networks

N Shribala; Dr. P. Srihari; Dr. B. C. Jinaga

Multi-Channel Scheduling with Optimal Spectrum Channel Hole Filling (MCS-OSHF) for Cognitive Radio Wireless Networks

N Shribala * §

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Dr. P. Srihari

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Dr. B. C. Jinaga

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§ Bhoj Reddy Engineering College for Women

Multi-Channel Scheduling with Optimal Spectrum Channel Hole Filling (MCS-OSHF) for Cognitive Radio Wireless Networks

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Abstract

In this study, a contemporary method of scheduling algorithm has been proposed for working on scheduling of varying size data-frames transmission in CR based wireless networks. The objective of the proposed model is to achieve maximum throughput, and also reduction of loss of data-frames in the transmission. Some of the key elements that are considered in the development of the model are optimal bandwidth and idle channel availability. Using the three level hierarchical approach, the scheduling strategy is constructed. The optimal idle channel allocation, allocation with considerable transmission intervals allocation and optimal multiple channels models are considered at respective levels in the hierarchy in the proposed algorithm.

References

17 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

N Shribala, Dr. P. Srihari, Dr. B. C. Jinaga. 2017. "Multi-Channel Scheduling with Optimal Spectrum Channel Hole Filling (MCS-OSHF) for Cognitive Radio Wireless Networks". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 16 (GJCST Volume 16 Issue E7).

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GJCST Volume 16 Issue E7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

I.3.7

C.2.1

I.2.9

Submission ReceivedDecember 11, 2015
Peer Review Double Blind
Handling Editor
Accepted January 1, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

January 24, 2017

Language

English

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Article Matrices

Total Score: 153

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: N Shribala, Dr. P. Srihari, Dr. B. C. Jinaga (PhD/Dr. count: 2)

View Count (all-time): 366

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Publish Date: 2016 01, Fri

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Total Views: 1.8K

Total Downloads: 157

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