Efficient utilization of various network coding techniques in different wireless scenarios

Purnendu Shekhar Pandey, Neetesh Purohit, Sanjay Mishra, BRODERICK CRAWFORD LABRIN, RICARDO JAVIER SOTO DE GIORGIS

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The nodes of a communication network use network coding technique for generating packets for output links by systematically processing the packets received on its input links such that the original packets should be recovered by the destination nodes. Under low traf- fic conditions higher bandwidth efficiency and power efficiency can be achieved using network coding but the performance degrades as the traf- fic in the network increases. Overall performance of the network can be improved if the node is able to take a decision about whether to use or not to use network coding under the current condition of the network. This work presents a scheme for finding out a threshold value below which network coding should be used and above the threshold normal forwarding operation should be adopted by the nodes. The performance of the proposed algorithm on Cross topology under different network coding schemes has been tested under simulation environment i.e. on NS-3. Significant improvement has been observed as compared to only network coded systems as well as the traditional store and forward systems.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2015 - 15th International Conference, Proceedings
EditorsMarina L. Gavrilova, Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Carmelo Torre, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Sanjay Misra
PublisherSpringer Verlag
Pages492-502
Number of pages11
ISBN (Print)9783319214092
DOIs
StatePublished - 1 Jan 2015
Event15th International Conference on Computational Science and Its Applications, ICCSA 2015 - Banff, Canada
Duration: 22 Jun 201525 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9158
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Computational Science and Its Applications, ICCSA 2015
CountryCanada
CityBanff
Period22/06/1525/06/15

Keywords

  • Coding Gain (CG)
  • Linear Network Coding (LNC)
  • Maximum Flow Min Cut (MF-MC)
  • Network Coding (NC)
  • Random Linear Network Coding (RLNC)
  • Throughput
  • XOR

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