CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Determination of Efficient bandwidth utilization During Multicast using Data Envelopment Analysis

by Joseph Stephen Soja, Suleiman Mohammed Sani, Abdoulie Momodou SunkaryTekanyi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 9
Year of Publication: 2016
Authors: Joseph Stephen Soja, Suleiman Mohammed Sani, Abdoulie Momodou SunkaryTekanyi
10.5120/ijca2016908032

Joseph Stephen Soja, Suleiman Mohammed Sani, Abdoulie Momodou SunkaryTekanyi . Determination of Efficient bandwidth utilization During Multicast using Data Envelopment Analysis. International Journal of Computer Applications. 139, 9 ( April 2016), 1-6. DOI=10.5120/ijca2016908032

@article{ 10.5120/ijca2016908032,
author = { Joseph Stephen Soja, Suleiman Mohammed Sani, Abdoulie Momodou SunkaryTekanyi },
title = { Determination of Efficient bandwidth utilization During Multicast using Data Envelopment Analysis },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 9 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume139/number9/24515-2016908032/ },
doi = { 10.5120/ijca2016908032 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:40:27.000634+05:30
%A Joseph Stephen Soja
%A Suleiman Mohammed Sani
%A Abdoulie Momodou SunkaryTekanyi
%T Determination of Efficient bandwidth utilization During Multicast using Data Envelopment Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 9
%P 1-6
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Envelopment Analysis (DEA) is an operational research tool that is used for measuring the performance efficiency of an algorithm or organization. In this paper, DEA is applied on the simulation results of an Improved Network Coding Algorithm (INCA) with two and three performance in order to establish the performance efficiency of the two algorithms in terms of bandwidth utilization during video conferencing over a wireless network. Most researches which focus largely on determining the effectiveness of the INCA in terms of bandwidth consumption during video conferencing. However, this approach which uses DEA, the simulation results showed that the INCA with two parameters is the most cost-Efficient algorithm in terms of performance than the INCA with three parameters.

References
  1. A. Charnes, W. W. Cooper, A. Y. Lewin, and L. M. Seiford (2013), Data envelopment analysis: Theory, methodology, and applications: Springer Science & Business Media.
  2. A. Charnes, W. W. Cooper, and E. L. and Rhodes (1978) "Measuring the efficiency of decision making units," European Journal of Operational Research, vol. 2, pp. 429-444,.
  3. A. A. Ajibesin, N. Ventura, A. Murgu, and H. A. Chan, (2013) "Cost-efficient multicast over coded packet wireless networks using data envelopment analysis," in Consumer Communications and Networking Conference (CCNC), IEEE,, pp. 546-551.
  4. G. Shoba, S. Kalaitchelvi, and M. Rajeswari, (2014) "Movement Evaluation Algorithm for video coding in Video Compression," International Journal of Computer Science & Engineering Technology (IJCSET), vol. 05, pp. 157-159.
  5. A. S. Narayanan and T. K. Kiong, "Video conferencing solution for medical applications in low-bandwidth networks, (2013) " in Telecommunication Networks and Applications Conference (ATNAC), 2013 Australasian, pp. 195-200.
  6. C. Feldmann, C. Bulla, and B. Cellarius, "Efficient Stream-Reassembling for Video Conferencing Applications using Tiles in HEVC (2013)," in Proc. of International Conferences on Advances in Multimedia (MMEDIA), Venice, Italy, pp. 130-135.
  7. M. Freeman, (1998) "Video Conferencing: a Solution to the Multi‐campus Large Classes Problem?," British Journal of Educational Technology, vol. 29, pp. 197-210.
  8. N. Immorlica, M. Mahdian, and V. S. Mirrokni, (2008) "Limitations of cross-monotonic cost-sharing schemes," ACM Transactions on Algorithms (TALG), vol. 4, p. 24.
  9. Dimitri Bertsekas and R. Gallager, " S. Edition, Ed., ed: PRENTICE HALL. "Data Networks, (2001) Englewood Cliffs, New Jersey 07632, pp. 495-506.
  10. R. Hampel and U. Stickler, (2012) "The use of videoconferencing to support multimodal interaction in an online language classroom, " ReCALL, vol. 24, pp. 116-137,.
  11. S. Mehrotra, H. Chen, S. Jain, J. Li, B. Li, and M. Chen, (2012)"Bandwidth management for mobile media delivery, " in Global Communications Conference (GLOBECOM), 2012 IEEE, pp. 1901-1907.
  12. Z. Guo, Y. Wang, E. Erkip, and S. Panwar, (2013) "Video Multicast through Cooperative Incremental Parity Packet Transmission,".
  13. Adedokun Emmanuel Adewale , Joseph Stephen Soja , Iliya Tizhe Thuku, and H. James, (2015) "An investigative study on performance Metrics that affects video Conferencing over Wireless Network," International Journal of Innovative Research in Computer and Communication Engineering, vol. 3, pp. 9131-9135.
  14. A. A. Ajibesin, N. Ventura, A. Murgu, and H. A. Chan, (2014) "Data envelopment analysis with slacks model for energy efficient multicast over coded packet wireless networks,".
  15. Chao Liang, Miao Zhao, and Yong Liu, (2010) "Optimal Bandwidth Sharing in Multi-Swarm Multi-Party P2P Video Conferencing Systems," pp. 1-15.
  16. Emmanuel Adewale Adedokun, Joseph Stephen Soja, and A. S. Tekanyi, (2015) "Multicast Algorithms over Wireless Networks Using Network Coding: A Review," Communications: science publishing group, vol. 3, pp. 77-80.
  17. S. J. Soja, S. Muhammed Sani, A. M. S Tekanyi, and S. Garba, (2015) "Improvement of Multicast Network Coding Algorithm for Bandwidth Utilization over Coded Packet Wireless Network," International Engineering conference, Minna pp. 256-272.
  18. Soja .J. S, S. M. sani, S. Garba, and A. M. S. Tekanyi, (2015) "Development of an Improved Multicast Algorithm for Interpreting the Cost of Bandwidth within the Channel during Multicast using Shannon-Hartley Channel Capacity Theorem," International Journal of Engineering Research & Technology (IJERT), vol. 4, pp. 252-255.
  19. William W. Cooper., L. M. Seiford., and a. J. Zhu,( 2000) "DATA ENVELOPMENT ANALYSIS: History, Models and Interpretations," ed, , pp. 1-39.
  20. W. W. Cooper, L. M. Seiford, and J. Zhu, (2011) "Data envelopment analysis: History, models, and interpretations," in Handbook on data envelopment analysis, ed: Springer, pp. 1-39.
  21. Y.-b. Ji and C. Lee, (2010) "Data envelopment analysis," The Stata Journal, vol. 10, pp. 267-280,.
  22. T. Joro and P. J. Korhonen, (2015) "Data Envelopment Analysis," in Extension of Data Envelopment Analysis with Preference Information, ed: Springer, , pp. 15-26.
  23. J. Zhu, "Data Envelopment Analysis," (2014) in Quantitative Models for Performance Evaluation and Benchmarking, ed: Springer, pp. 1-9.
  24. J. S. Liu, L. Y. Lu, W.-M. Lu, and B. J. Lin, (2013) "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, vol. 41, pp. 3-15.
Index Terms

Computer Science
Information Sciences

Keywords

Data Envelopment Analysis Efficiency Constant Return to Scale Bandwidth and Decision Making Unit.

Powered by PhDFocusTM