Journal of Advances in Engineering and Technology [JAET]

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/3041

The Journal of Advances in Engineering and Technology (JAET) is an international, open access, double blind peer-reviewed journal. It is published by the Faculty of Engineering of Sri Lanka Institute of Information Technology (SLIIT). The JAET aims at fostering research and development work in Engineering and Technology and bringing researchers on to a common platform. Furthermore, JAET will also accept review articles on appropriate subject areas including concept papers of academic opinions, book reviews, etc. for publication therein.

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Author: search.filters.author.Muthanna, A

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Now showing 1 - 4 of 4
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    ItemOpen Access
    Highly Efficient 3D Object Transmission System for HTC Services in 6G Networks
    (Faculty of Engineering, 2026-03) Svechnikov, D; Volkov, A; Marochkina,A; Muthanna, A; Kouhceryavy, A
    In recent years, advancements in technology have brought forth a new frontier in visual communication. Holography is a technique that captures and reproduces three-dimensional (3D) images with an unprecedented level of realism and depth, has emerged as a groundbreaking method for conveying visual information. Unlike traditional images and videos, holography recreates scenes with full parallax, enabling viewers to perceive objects from various angles. The transmission of holographic images presents both exciting possibilities and unique challenges. To this end, this article conducts a comparative analysis of a previously developed application system for transmitting dynamic 3D human movements with a ready-made solution for transmitting 2D video streams in order to provide conference calling services. The network characteristics of the systems were collected and compared. The opportunities that programs currently provide and will provide in the future are examined.
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    ItemOpen Access
    Task Scheduling Problem in Fog Computing Environment with improved Memetic algorithm
    (Faculty of Engineering, 2026-03) Thang, D.V; Artem, V; Muthanna, A; Vorozheikina, O; Koucheryavy, A
    The task scheduling problem in fog computing is one of the key challenges in the development of fog computing within next-generation communication networks. Addressing this challenge requires balancing processing performance with resource constraints while meeting network conditions. Given the distributed and heterogeneous nature, as well as the dynamic topology, optimally allocating tasks to fog nodes is a complex issue. To contribute to solving this problem, we propose a task scheduling method based on an improved Memetic algorithm. The proposed method leverages the strengths of evolutionary algorithms and local search, while incorporating a task restructuring mechanism, to enhance allocation efficiency and task processing in the fog computing environment. Simulation experiments demonstrate that the proposed method outperforms genetic algorithms, Round-Robin, Greedy methods, and the Ant Colony Optimization algorithm in terms of efficiency. This study provides a fresh, simpler approach that aligns with network conditions while still achieving the desired performance.
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    ItemOpen Access
    Fog computing power for telepresence suit as user terminal for Metaverse
    (Faculty of Engineering, 2026-01) Mogilatov, V; Kaijalainen, V; Volkov, A; Muthanna, A; Koucheryavy, A.
    Fog computing represents an emerging paradigm in information and communication technologies that is becoming pivotal for meeting the growing performance requirements of modern computing systems, particularly in the context of the Internet of Things (IoT) and real-time services. One of the most promising 2030-network service classes enabled by fog is telepresence. This paper investigates both the theoretical and practical aspects of deploying fog-computing solutions in telepresence networks to minimize latency and enhance overall system performance. The study combines analytical modelling with discrete-event simulations carried out in Any Logic.
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    ItemOpen Access
    Analysis and optimization of OLSR and AODV routing protocols for highly mobile autonomous aerial vehicle networks: experimental performance evaluation in various application scenarios
    (Faculty of Engineering, 2026-01) Duc Tu, N; Gorbacheva, L; Muthanna, A
    Driven by the rapid evolution of Autonomous Aerial Vehicle (AAV) technology, ad-hoc AAV networks are becoming increasingly significant in diverse domains such as telecommunications, security surveillance, search-and-rescue operations, emergency management, precision agriculture, and cargo transportation. Owing to their flexible deployment and tight coordination capabilities, AAVs enable real-time data exchange, unlocking considerable potential for tasks that demand high accuracy and swift response. Nevertheless, their three-dimensional mobility and continuously changing topology impose substantial challenges on the design of suitable routing solutions, because conventional protocols originally developed for Mobile Ad-hoc Networks (MANETs) are seldom optimized for aerial characteristics. This discrepancy underscores the necessity for a comprehensive analysis and optimal configuration that satisfy the stringent requirements of low latency, high throughput, and reliability in mission-critical AAV applications. Against this backdrop, the present study focuses on the analysis and modelling of two widely adopted routing protocols—Optimized Link State Routing (OLSR) and Ad hoc On-Demand Distance Vector (AODV)—in various deployment contexts of ad-hoc AAV networks. By evaluating the performance of these protocols, we identify their advantages, limitations, and possible enhancement directions, and subsequently propose configuration guidelines that deliver improved link quality.