Journal of Applied Science and Engineering

Published by Tamkang University Press

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1.60

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Osamah Ibrahim Khalaf This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Ghaida Muttashar Abdulsahib2

1AI-Nahrain University, Al-Nahrain Nanorenewable Energy Research Centre (NNERC), Baghdad, Iraq
2University of Technology-Iraq, Department of Computer Engineering, Baghdad, Iraq


 

Received: December 1, 2020
Accepted: February 17, 2021
Publication Date: October 1, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202110_24(5).0007  


ABSTRACT


The challenge is not overcome in modern communication technologies, especially if the model can be adapted for bandwidth’s efficient use. Our research concentrates on the upstream network dynamic bandwidth allotment (DBA). If adequately implemented, DBA can significantly increase packet transmission delay and the maximum use of bandwidth. Also, the lowest energy usage in all types of networks is the network. As long as the network’s bandwidth is distributed equally among user groups, elastic traffic is not trivial, as multiple users can have optimistic and minimum available bandwidth. This article designs and executes a library of users that allocates bandwidth between multiple application streams using multiple TCP connections. This paper introduces a new Network Simulator which evaluates various algorithms for available bandwidth. The allocation method can be analyzed in different traffic situations and with network configurations close to real systems. Our findings demonstrate that links with low loss and cross-traffic support the strip scheduling process for delay-controlled applications, while high loss/proportion of cross-traffic involves the pin scheduler.


Keywords: Bandwidth Allocation, Network, Ethernet, Network-Traffic, Throughput, Delay


REFERENCES


  1. [1] Moez Krichen, Seifeddine Mechti, Roobaea Alroobaea, Elyes Said, Parminder Singh, Osamah Ibrahim Khalaf, and Mehedi Masud. A formal testing model for operating room control system using internet of things. Computers, Materials and Continua, 66(3):2997–3011, 2021.
  2. [2] Osamah Ibrahim Khalaf, Kingsley A. Ogudo, and Manwinder Singh. A fuzzy-based optimization technique for the energy and spectrum efficiencies trade-off in cognitive radio-enabled 5g network. Symmetry, 13(1):1– 14, 2021.
  3. [3] Osamah Ibrahim Khalaf, Ghaida Muttashar Abdulsahib, Hamed Daei Kasmaei, and Kingsley A. Ogudo. A new algorithm on application of blockchain technology in live stream video transmissions and telecommunications. International Journal of e-Collaboration, 16(1):16–32, 2020.
  4. [4] Abdulsattar Abdullah Hamad, Ahmed S. Al-Obeidi, Enas H. Al-Taiy, Osamah Ibrahim Khalaf, and Dac Nhuong Le. Synchronization phenomena investigation of a new nonlinear dynamical system 4D by gardano’s and lyapunov’s methods. Computers, Materials and Continua, 66(3):3311–3327, 2020.
  5. [5] Oryza Wisesa, Andi Adriansyah, and Osamah Ibrahim Khalaf. Prediction Analysis Sales for Corporate Services Telecommunications Company using Gradient Boost Algorithm. In 2020 2nd International Conference on Broadband Communications, Wireless Sensors and Powering, BCWSP 2020, pages 101–106, 2020.
  6. [6] Ahmad F. Subahi, Youseef Alotaibi, Osamah Ibrahim Khalaf, and F. Ajesh. Packet drop battling mechanism for energy aware detection in wireless networks. Computers, Materials and Continua, 66(2):2077–2086, 2020.
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  9. [9] Osamah Ibrahim Khalaf, Ghaida Muttashar Abdulsahib, and Bayan Mahdi Sabbar. Optimization of wireless sensor network coverage using the bee algorithm. Journal of Information Science and Engineering, 36(2):377– 386, 2020.
  10. [10] Osamah Ibrahim Khalaf, F Ajesh, A. A. Hamad, Gia Nhu Nguyen, and Dac Nhuong Le. Efficient DualCooperative Bait Detection Scheme for Collaborative Attackers on Mobile Ad-hoc Networks. IEEE Access, 2020.
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  13. [13] Osamah Ibrahim Khalaf and Ghaida Muttashar Abdulsahib. Frequency estimation by the method of minimum mean squared error and P-value distributed in the wireless sensor network. Journal of Information Science and Engineering, 35(5):1099–1112, 2019.
  14. [14] Ayman Dawood Salman, Osamah Ibrahim Khalaf, and Ghaida Muttasher Abdulsaheb. An adaptive intelligent alarm system for wireless sensor network. Indonesian Journal of Electrical Engineering and Computer Science, 15(1):142–147, 2019.
  15. [15] Kingsley A Ogudo, Dahj Muwawa Jean Nestor, Osamah Ibrahim Khalaf, and Hamed Daei Kasmaei. A device performance and data analytics concept for smartphones’ IoT services and machine-type communication in cellular networks. Symmetry, 11(4), 2019.
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  17. [17] Osamah Ibrahim Khalaf, Ghaida Muttashar Abdulsahib, and Muayed Sadik. A Modified Algorithm for Improving Lifetime WSN. Journal of Engineering and Applied Sciences, 13:9277–9282, 2018.
  18. [18] Norrozila Sulaiman, Ghaidaa M. Abdulsahib, Osamah I. Khalaf, and Muamer N. Mohammed. Effect of using different propagations on performance of OLSR and DSDV routing protocols. In Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS, volume 2015-Septe, pages 540–545, 2015.


    



 

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