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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 route 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. In regard to this we devised an Orthogenesis evolution based Genetic algorithm for QoS fitness scope aware route discovery in Mobile ad hoc networks. Due to the computational complexities of GA and limits of ad hoc network resources, very few researchers devised GA based QoS optimality strategies for route discovery in MANETs. The model devised here in this paper is successfully handling these issues and emerged as best in its class of QoS aware route discovery strategies. The experimental results are exploring the scalability, optimality and robustness of the proposed model.
M.L.Ravi Chandra. 2015. \u201cQFSRD: Orthogenesis Evolution based Genetic Algorithm for QoS Fitness Scope aware Route Discovery in Ad hoc Networks\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E3): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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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): 241
Total Views (Real + Logic): 7961
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Publish Date: 2015 06, Mon
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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 route 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. In regard to this we devised an Orthogenesis evolution based Genetic algorithm for QoS fitness scope aware route discovery in Mobile ad hoc networks. Due to the computational complexities of GA and limits of ad hoc network resources, very few researchers devised GA based QoS optimality strategies for route discovery in MANETs. The model devised here in this paper is successfully handling these issues and emerged as best in its class of QoS aware route discovery strategies. The experimental results are exploring the scalability, optimality and robustness of the proposed model.
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