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This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics
Etinosa Noma-Osaghae
Covenant University
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : International Journal of Electrical and Computer Engineering

 1 
Comparative analysis of routing techniques in chord overlay network Omoruyi Osemwegie; Samuel John; Adewale Adeyinka; Etinosa Noma-Osaghae; Kennedy Okokpujie
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i5.pp4361-4372

Abstract

Overlay networks are not a new field or area of study. This domain of computing will someday drive P2P systems in various application areas such as block-chain, energy trading, video multicasting, and distributed file storage. This study highlights the two widely known methods of routing information employed in one of such overlay networks called chord. In this study, simulations of both routing modes (iterative and recursive) and their variations under no-churn (leaving and joining of nodes) and churn conditions was carried out. The routing parameter (successor list size) was varied for each of the routing techniques in a simulation study. The results obtained show that semi recursive routing gives a better routing performance under churn scenarios.
Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions Okokpujie Kennedy; Emmanuel Chukwu; Olamilekan Shobayo; Etinosa Noma-Osaghae; Imhade Okokpujie; Modupe Odusami
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 1: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (873.805 KB) | DOI: 10.11591/ijece.v9i1.pp359-368

Abstract

This paper demonstrates the robustness of active queue management techniques to varying load, link capacity and propagation delay in a wireless environment. The performances of four standard   controllers used in Transmission Control Protocol/Active Queue Management (TCP/AQM) systems were compared. The active queue management controllers were the Fixed-Parameter Proportional Integral (PI), Random Early Detection (RED), Self-Tuning Regulator (STR) and the Model Predictive Control (MPC). The robustness of the congestion control algorithm of each technique was documented by simulating the varying conditions using MATLAB® and Simulink® software. From the results obtained, the MPC controller gives the best result in terms of response time and controllability in a wireless network with varying link capacity and propagation delay. Thus, the MPC controller is the best bet when adaptive algorithms are to be employed in a wireless network environment. The MPC controller can also be recommended for heterogeneous networks where the network load cannot be estimated.
Co-Authors Adewale Adeyinka Charles Ndujiuba Claude Takenga Emmanuel Adetiba Emmanuel Chukwu Imhade Okokpujie Imhade Princess Okokpujie John Abubakar Joke Atinuke Badejo Kennedy Okokpujie Mbasa Joaquim Molo Modupe Odusami Obinna Okoyeigbo Okokpujie Imhade Okokpujie Kennedy Olamilekan Shobayo Omoruyi Osemwegie Sadeeq Suraju Samuel John Samuel John Samuel Ndueso John Victoria Oguntosin Vingi Patrick Nzanzu