An Effecient Misbehaving Node Detection Algorithm in Manet

An Effecient Misbehaving Node Detection Algorithm in Manet

Shaheen Bohra

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Naveen Choudhary

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1 College of Technology and Engineering

GJCST Volume 15 Issue H2

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.

Manet is a collection of self-organizing mobile nodes participating in the network to forward packets for each other. However, some nodes in the network do not forward packets in order to save their energy. But these nodes make use of other nodes to forward their packets. Such unfair use of the network leads to degradation of its performance. So it is very important to detect such misbehaving nodes in the network. So in order to improve network performance we propose a scheme that is a combination of overhearing and acknowledgement based method to detect misbehaving nodes. The scheme is proposed to be built on top of DSR routing protocol.

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References

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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.

Shaheen Bohra. 2015. \u201cAn Effecient Misbehaving Node Detection Algorithm in Manet\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H2): .

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GJCST Volume 15 Issue H2
Pg. 17- 23

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-H Classification: C.2.1

Submission ReceivedDecember 8, 2014
RevisedDecember 8, 2014
Peer Review Double Blind
Handling Editor
Accepted December 31, 2014
Published January 15, 2015

Version of record

v1.2

Issue date

July 27, 2015

Language

English

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: Shaheen Bohra, Naveen Choudhary (PhD/Dr. count: 0)

View Count (all-time): 208

Total Views (Real + Logic): 8166

Total Downloads (simulated): 2008

Publish Date: 2015 07, Mon

Monthly Totals (Real + Logic):

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Total Views: 8166

Total Downloads: 2008

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