QFSRD: Orthogenesis Evolution based Genetic Algorithm for QoS Fitness Scope aware Route Discovery in Ad hoc Networks

QFSRD: Orthogenesis Evolution based Genetic Algorithm for QoS Fitness Scope aware Route Discovery in Ad hoc Networks

Article ID

CSTNWS886C2

QFSRD: Orthogenesis Evolution based Genetic Algorithm for QoS Fitness Scope aware Route Discovery in Ad hoc Networks

M.L.Ravi Chandra

Dr.P.Chandra Sekhar Reddy

DOI

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Abstract

Here in this paper we devised a novel orthogenesis evolution based GA technique for QoS fitness scope aware routing in Mobile Ad hoc Networks. The past decade research towards route discovery strategies for mobile ad hoc networks is continuing with magnitude speed. However, the majority of the routing solutions devised in past are dealing only with the optimality of the data transmission. QoS aware hop level connections in a given rute are not supported with the desired frequency. Hence the QoS aware routing in mobile ad hoc networks is grabbing the attention of many researchers as this domain is on the hot edge of the current research.

QFSRD: Orthogenesis Evolution based Genetic Algorithm for QoS Fitness Scope aware Route Discovery in Ad hoc Networks

Authors

M.L.Ravi Chandra

Dr.P.Chandra Sekhar Reddy

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How to Cite

M.L.Ravi Chandra. 2015. “. Global Journal of Computer Science and Technology – E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E3): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

GJCST Volume 15 Issue E3
Pg. 1- 10

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Classification

GJCST-E Classification:C.2.2

Submission Received February 11, 2015
Accepted March 3, 2015
Published March 15, 2015

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: M.L.Ravi Chandra, Dr.P.Chandra Sekhar Reddy (PhD/Dr. count: 1)

View Count (all-time): 199

Total Views (Real + Logic): 7846

Total Downloads (simulated): 2029

Publish Date: 2015 06, Mon

Monthly Totals (Real + Logic):

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Total Views: 7846

Total Downloads: 2029

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