Publications Scientifiques

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    Data aggregation point placement optimization in Smart Metering Networks
    (JES, 2024) Grainat, Youcef; Recioui, Abdelmadjid; Oubelaid, Adel
    This study explores the application of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) within the framework of smart grids (SG), specifically for the optimal placement of data aggregation points (DAPs) across a network of 150 Z-wave smart meters distributed within various smart cities. The investigation aims to identify which of the two- optimization strategies offers a more cost-efficient solution while evaluating their performance in terms of transmission average latency (AL) and execution time (ET) efficiency. The results indicate that although ACO slightly edges out PSO in reducing overall costs in networks with a higher complexity and more DAPs, PSO demonstrates superior performance in execution speed, lower AL, and total cost, underscoring its viability for swift integration in smart metering infrastructures.
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    Data Caching in Edge Computing: A Survey
    (Institute of Electrical and Electronics Engineers Inc., 2024) Kara, Meliha Çağla; Benlakehal, Mohamed Elamine; Shayea, Ibraheem; Tussupov, Akhmet; Rzayeva, Leila
    As the Internet of Things (IoT) generates ever-increasing data streams, traditional cloud-centric architectures face crippling challenges in network latency, bandwidth consumption, and resource constraints. This paper explores how data caching in edge computing environments emerges as a potent solution, significantly impacting latency reduction, network efficiency, and overall system performance. We comprehensively review the landscape of edge IoT and data caching, analyze caching benefits and complexities, and delve into architectural integration, caching strategies, and algorithms tailored to address specific IoT challenges. Through case studies in chosen application domains, we quantify the performance improvements enabled by effective caching and pave the way for future research exploring novel caching methodologies and optimization techniques in the dynamic world of edge IoT.
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    Wireless Power Transfer Optimization Using Meta-heuristic Algorithms
    (IEEE, 2024) Bennia, Fatima; Boudouda, Aimad; Nafa, Fares
    The importance of Wireless Power Transfer (WPT) technology in biomedical implants to mitigate the risk of regeneration has increased significantly in recent years. WPT systems are dependent on key parameters such as the coupling coefficient (K), quality factor (Q), and mutual inductance (M), which play a crucial role in determining power transfer efficiency. These parameters are closely related to the geometric characteristics of the coils involved. Therefore, this study explores various meta-heuristic algorithms to search for optimal parameters that maximize power transfer efficiency. The initial results demonstrate that these algorithms perform well across different iterations. To confirm these findings, the study conducted comprehensive validation using Ansys Maxwell software to verify the optimal values obtained through optimization.
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    Extractive/Oxidative desulfurization optimization of diesel feed stock by ionic liquid utilization/ thermodynamic analysis
    (2022) Rahawi, Qasim Y.; Berrabia, Nadjet; Hamada, Boudjema; Daabo, Ahmed Mahmood
    The current research paper focuses on the physico-chemical optimization’s parameters for the Microwave Assisted Extractive/ Oxidative Desulfurization (MAEOD) of a real Algerian diesel. The oxidative desulfurization was carried out using vanadyl acetyl acetonate as catalyst, hydrogen pyroxide (30%) as oxidant and an acid Bronsted Ionic Liquid (IL) in situ synthesized as extractor. The utilized optimization method is consistent with the full factorial experiment. The engaged parameters are the masse ratio (catalyst/oil), the volume ratio (IL/oil), and the reaction time. Quantification of total sulfur in samples was realized by X-ray fluorescence and a regression model is formed. The most important model parameters’ interaction effects are examined and the ISO-response curves are outlined in order to simulate the optimal conditions
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    Manta ray foraging optimization algorithm for solving the LEDs placement problem in indoor VLC systems
    (IEEE, 2022) Yahia, Selma; Meraihi, Yassine; Sadeki, Nesrine; Tellache, Mohamed; Mekhmoukh Taleb, Sylia; Refas, Souad; Benmessaoud Gabis, Asma
    Visible light communication is an excellent alternative to traditional Radio Frequency (RF) technology where many problems have been detected including saturation of the RF spectrum, making wireless communication unable to support the high demand of wireless connections. VLC allows communication between users using Light Emitting Diodes (LEDs) as transmitters and Photo-detectors (PDs) as receivers. The deployment of LEDs in indoor VLC Systems is an important issue that affects the coverage of the network. In this paper, we applied the Manta Rays Foraging Optimization (MRFO) algorithm for tackling the LEDs placement problem in indoor VLC systems. We formulate an optimization problem with the goal of maximizing coverage, throughput while ensuring the network requirements. The performance of MRFO was validated in terms of user coverage and throughput compared to Whale Optimization Algorithm (WOA), Bat Algorithm (BAT), and Particle Swarm Optimization (PSO). The simulation results demonstrated that MRFO is more effective than WOA, BAT, and PSO in determining optimal placement of LEDs
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    Joint economic and emission load dispatch for the Algerian grid via an improved harmony search algorithm
    (Springer, 2023) Bouaraki, Mouloud; Dekhandji, Fatma Zohra; Recioui, Abdelmadjid; Benmissoum, Abdellah; Khellas, Oussama
    Renewable energy sources (RES) have been very popular as they reduce the release of damaging toxins to the air contrary to fossil fuel combustion. The economic load dispatch (ELD) issue looks for the optimal dimensioning of the RES to lessen the fuel cost while Emission Dispatch (ED) is concerned with the best dimensioning of the RESs to decrease the quantity of the produced pollutants. A multi-purpose Joint Economic-Emission Dispatch (JEED) seeks the best RES dimensioning by compromising the fuel fee and toxin release simultaneously. In this paper, a JEED problem is solved for a ten-unit Algerian Network using a recent optimization algorithm named Improved Harmony Search Algorithm (IHSA). The obtained results suggest that the considered JEED problem proves to be more practical than when ELD and ED are dealt with separately. Also, an enhancement in terms of economic and emission dispatch is obtained for the considered case. This work also witnesses on the superiority of the IHSA over state of art approaches
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    Combined heat and power economic dispatch problem with binary method using flower pollination algorithm and differential evolution
    (Springer, 2023) Mellal, Mohamed Arezki; Khitous, Marwa; Zemmouri, Meriem
    Nowadays, the need for electrical energy became crucial in the world. The co-generation plants, which simultaneously produce electrical and heat energies, are one of the alternative solutions to supply people and industry with both energies. The present work addresses the cost minimization of the nonconvex combined heat and power dispatch problem (CHPED). The nonconvex operating region is handled using the binary method, and the optimization problem is solved using two nature-inspired algorithms, namely the flower pollination algorithm (FPA) and the differential evolution (DE). Penalty functions are adopted to handle all the operating constraints, units’ limits, and demands. The results obtained compare the algorithms and those of the literature. It is observed that the fuel cost obtained by the flower pollination algorithm (FPA) is less than the one obtained by the differential evolution (DE) and the particle swarm optimization (PSO)
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    Optimal placement of DGs in the distribution networks using an analytical approach
    (IEEE, 2022) Dekhandji, Fatma Zohra; Baali, Habiba; Recioui, Abdelmadjid
    The work deals with the penetration of Distributed Generators (DGs) units into a simple radial system. An analytical optimization method is used to determine the optimal locations and sizes of the DGs minimizing the power distribution loss. A load flow method called Backward/Forward is used. In addition, a method based on the calculation of Voltage Stability Index (VSI) is employed to ensure the stability of the system after the placement of DG units
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    Technical-economic study of PVC-based formulations intended to industrial 3-wire electric cables, using a full factorial design methodology
    (2023) Cherfi, Abdelhamid; Dehak-Oughlissi, Karima; Ben Meddour, Touhami
    In the present study, full factorial designs were used to model and optimize the mechanical properties of PVC-based formulations constituting three-core power cables: sheathing, insulation and stuffing, while respecting the standards in force, and aiming for a minimum cost. The effects of 4 parameters: plasticizer content (X1), filler content (X2), stabilizing agent content (X3) and the kind of plasticizer were investigated on the following properties: Density (D), Hardness (H), Elongation at break (EB) and Fracture resistance (FR), as well as the price (DA/kg of formulation). The desirability-based optimization gave the following values: EB = 214.72%, FR = 19.94 MPa and Price = 116.71 DA/kg for the sheathing; EB = 198.11%, FR = 4.38 MPa and Price = 61.73 DA/kg for the stuffing; EB = 207.84%, FR = 19.35 MPa and Price = 102.73 DA/kg for the insulation. The study revealed also that the order of significance of the effects on the mechanical properties was: X1>X2>X3 and that the use of cheapest plasticizer did not affect greatly the mechanical properties
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    Strength prediction of a steel pipe having a hemi-ellipsoidal corrosion defect repaired by GFRP composite patch using artificial neural network
    (Elsevier, 2023) Oulad Brahim, Abdelmoumin; Belaidi, Idir; Khatir, Samir; Le Thanh, Coung; Mirjalili, Seyedali; Magd, Abdel Wahab
    Local stress concentration occurs when faults are present in pipelines under pressure. An example of such defects is the problem of corrosion caused by the environment in the field of pipeline installation. In the first part of this paper, we attempt to model the corrosion in the hemi-ellipsoidal form in order to study the locations of stress concentration in the specimens by several experimental cases and their influence on the stress resistance. The Gurson-Tvergaard-Needleman (GTN) mesoscopic damage model is used to simulate the specimens with good accuracy. In the second part, the investigation is extended to a pipe under static pressure with and without the presence of a glass fibre reinforced polymer (GFRP) composite patch. The maximum stress and percent stress reduction in a defected pipe with a hemi-ellipsoidal defect are determined using a 3D finite element model. This part examines the impact of the geometry of the composite patches on the percentage reduction of the maximum stresses in a section of pipeline subjected to static pressure. In the third part, the stresses and the percentage reduction in the maximum stresses are predicted using an artificial neural network (ANN). An inverse problem using ANN and Jaya algorithm is proposed to predict the group level of different sizes of defects under composite patches based on the maximum stress and percentage reduction of stress that the pipe withstands. The new method relates directly to real-world pipeline construction and repair applications. It could be also used for structural safety monitoring