Fuzzy based Multi-Metric Path Ranking Scheme for Multipath Routing

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Published: Oct 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i8.4644
Keywords:
ITMR, PLU, PRFC, Hop-count, Path ranking

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Shalini Aggarwal
Assistant Professor, Department of Computer Science, S.U.S. Govt. College, Matak Majri (Indri), Karnal
Pardeep Kumar
Associate Professor, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra (Haryana) - 136119
Shuchita Upadhyaya
Professor, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra

Abstract

This paper focuses on the design of multipath ranking strategy on the basis of multi-metric approach for computer networks. The scheme is based on fuzzy logic with the underlying assumption that multiple paths are known in advance with the link utilization of each link. The proposed scheme is using two metrics: hop count and link utilization. The link utilization value is based on the load and capacity of all the underlying links. The proposed scheme finds the ranking of the paths to select a quantum of paths for distributing loads over them. The proposed scheme finds the fuzzy values of each path using fuzzy controller. The path ranking and fuzzy value of each path provides a insight into the quality of the paths.

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Article Details

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Vol. 8 No. 8 (2017): September-October
Section
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Author Biographies

Shalini Aggarwal, Assistant Professor, Department of Computer Science, S.U.S. Govt. College, Matak Majri (Indri), Karnal

Assistant Professor, Department of Computer Science

Pardeep Kumar, Associate Professor, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra (Haryana) - 136119

Associate Professor, Department of Computer Science & Applications

Shuchita Upadhyaya, Professor, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra

Professor, Department of Computer Science & Applications

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