Kamaludin Mohamad Yusof
Universiti Teknologi Malaysia

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Journal : Bulletin of Electrical Engineering and Informatics

On the latency and jitter evaluation of software defined networks Paulson Eberechukwu Numan; Kamaludin Mohamad Yusof; Muhammad Nadzir Bin Marsono; Sharifah Kamilah Syed Yusof; Mohd Husaini Bin Mohd Fauzi; Salawu Nathaniel; Elizabeth N. Onwuka; Muhammad Ariff Bin Baharudin
Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.958 KB) | DOI: 10.11591/eei.v8i4.1578

Abstract

Conventional networking devices require that each is programmed with different rules to perform specific collective tasks. Next generation networks are required to be elastic, scalable and secured to connect millions of heterogeneous devices. Software defined networking (SDN) is an emerging network architecture that separates control from forwarding devices. This decoupling allows centralized network control to be done network-wide. This paper analyzes the latency and jitter of SDN against a conventional network. Through simulation, it is shown that SDN has an average three times lower jitter and latency per packet that translate to improved throughput under varying traffic conditions.
Aircraft position estimation using angle of arrival of received radar signals Freeha Majeed Amjad; Ahmad Zuri Sha'ameri; Kamaludin Mohamad Yusof; Paulson Eberechukwu
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2273

Abstract

With increasing demand of air traffic, there is a need to optimize the use of available airspace. Effective utilization of airspace relies on quality of aircraft surveillance. Active research is carried out for enhancements in surveillance techniques and various methods are evaluated for future use. This paper evaluates the use of multiple signal classification (MUSIC) based angle of arrival (AOA) estimation along with multiangulation for locating aircrafts from their electromagnetic wave emission. The performance evaluation of the system is presented by evaluating the AOA estimation errors and position estimation (PE) errors. The errors are evaluated by comparing the estimated value to the actual value. An analysis on the system parameters, AOA error and PE error are presented in the end. AOA errors are affected by the AOA value (emitter bearing), number of array elements, SNR and resolution of AOA estimation algorithm. Errors in AOA estimation lead to PE errors. The simulation results show small errors for short ranges. The system performance can be improved at the expense of computational time by using higher MUSIC resolution and larger antenna arrays