Cognitive Adaptive Mac Based on Knowledge Based Reasoning For Cognitive Radio Computer Networks

Dr.Vibhakar Pathak; Dr K. C. Roy

Cognitive Adaptive Mac Based on Knowledge Based Reasoning For Cognitive Radio Computer Networks

Dr.Vibhakar Pathak * §

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Dr K. C. Roy

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suresh gyan vihar university jaipur

Cognitive Adaptive Mac Based on Knowledge Based Reasoning For Cognitive Radio Computer Networks

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Abstract

In this paper we are proposing a new concept in MAC layer protocol design for Cognitive radio by combining information held by physical layer and MAC layer with analytical engine based on knowledge based reasoning approach. In the proposed system a cross layer information regarding signal to interference and noise ratio (SINR) and received power are analyzed with help of knowledge based reasoning system to determine minimum power to transmit and size of contention window, to minimize backoff, collision, save power and drop packets. The performance analysis of the proposed protocol indicates improvement in power saving ,lowering backoff and significant decrease in number of drop packets. The simulation environment was implement using OMNET++ discrete simulation tool with Mobilty framework and MiXiM simulation library.

References

20 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

Dr.Vibhakar Pathak, Dr Roy. 1970. "Cognitive Adaptive Mac Based on Knowledge Based Reasoning For Cognitive Radio Computer Networks". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 11 (GJCST Volume 11 Issue F17).

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GJCST Volume 11 Issue F17

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Cognitive radio MAC OMNET++Received Power SDR SINR

Classification

GJCST-F Classification C.2

Submission ReceivedAugust 6, 2011
Peer Review Double Blind
Handling Editor
Accepted August 31, 2011
Published September 13, 2011

Version of record

v1.2

Language

English

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Article Matrices

Total Score: 149

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr.Vibhakar Pathak, Ms. Priyanka Gondiliya ,Dr K. C. Roy,Santosh Kr. Singh (PhD/Dr. count: 1)

View Count (all-time): 223

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Publish Date: 2011 09, Tue

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Total Views: 7.7K

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