Browsing by Author "Abdulrahman, O. A"
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Item Didactic Performance Review of Selected Topology-Aware Routing Strategies for Clustering Sensor Networks(Faculty of Engineering & Technology, University of Ilorin, Ilorin, Nigeria, 2019-12) Salami, A . F; Zakariyya, O . S; Amuda, Sulyman A. Y; Sadiq, B. O; Abdulrahman, O. AABSTRACT: In this paper, cluster-based routing (CBR) protocols for addressing issues pertinent to energy consumption, network lifespan, resource allocation and network coverage are reviewed. The paper presents an in-depth performance analysis and critical review of selected CBR algorithms. The study is domain-specific and simulation-based with emphasis on the tripartite trade-off between coverage, connectivity and lifespan. The rigorous statistical analysis of selected CBR schemes was also presented. Network simulation was conducted with Java-based Atarraya discrete-event simulation toolkit while statistical analysis was carried out using MATLAB. It was observed that the Periodic, Event-Driven and Query-Based Routing (PEQ) schemes performs better than Low-Energy Adaptive Clustering Hierarchy (LEACH), Threshold-Sensitive Energy-Efficient Sensor Network (TEEN) and Geographic Adaptive Fidelity (GAF) in terms of network lifespan, energy consumption and network throughput.Item Evaluative Assessment of an X-band Microstrip Patch Antenna for Wireless Systems.(Published by College of Engineering Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria., 2018-07) Salami, A . F; Zakariyya, O. S; Sadiq, B. O; Abdulrahman, O. AMicrostrip patch antennas (MPAs) are rapidly gaining more attention due to the proliferation of communication devices and systems with frequencies becoming more suitable for the size and performance of this type of antenna. Due to recent advancements in semiconductor technology, high dielectric constant materials are used to achieve additional size reduction which has made MPAs very useful and popular in the design of mobile devices and wireless systems. However, MPAs suffer from problems associated with narrow bandwidth and low gain. Techniques employed for improving the performance of MPA hinge on tweaking features such as the patch size, substrate height, ground plane size and feeding method. In view of this, this research designs and analyses the performance of an X-band MPA for wireless systems using CST Microwave Studio. Including the ground plane, the proposed design has a low-profile structure of 17 mm × 17 mm × 1.6 mm which is suitable for wireless systems. The proposed design also resonates at a frequency of 10 GHz with an omnidirectional radiation pattern exhibiting a gain of 7.2 dBi. Return Loss, VSWR, Gain and Radiation Pattern are the performance indicators employed in this research. The proposed MPA design demonstrates marked performance improvement when benchmarked with a similar MPA designed for 5G applications.Item A particle Swarm Optimization Based Edge Detection Algorithm for Noisy Coloured Images(Indian Academicians and Researchers Association, Indian, 2016-12) Sadiq, B. O; Zakariyya, O. S; Abdulrahman, O. A; Usman, A. M; Alao, R. AThis paper presents an improved edge detection algorithm using particle swarm optimization (PSO) based on vector order statistics. The proposed algorithm was implemented using MATLAB 2013 script. The algorithm addressed the performance of edge detection in noisy coloured images, with a view to minimizing broken, false and thick edges whilst reducing the presence of noise. A collection scheme based on step and ramp edges was applied to the edge detection algorithm, which explores a larger area in the images in order to reduce false and broken edges. The efficiency of this algorithm was tested on two Berkeley benchmark images in noisy environments with a view to comparing results both visually and quantitatively with those obtained using proven edge detection algorithms such as the Sobel, Prewitt, Roberts, Cannyand Laplacian edge detection algorithms. The Pratt Figure of Merit (PFOM) was used as a quantitative comparison between the proposed algorithm and the proven edge detection algorithms. The PFOM on the test images in noisy environment for the Sobel, Prewitt, Roberts, Laplacian, Canny and the proposed edge detection algorithms are 0.4191, 0.4191, 0.2807, 0.2811, 0.5606 and 0.8458 respectively. This showed that the developed algorithm will perform better than the existing edge detection algorithm in multimedia systems.