Publications Scientifiques
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Item Valuation of Physical Layer Security Under Jamming Attacks Utilizing RIS(2025) Refas, Souad; Meraihi, Yassine; Ivanova, Galina; Baiche, Karim; Cherif, Amar Ramdane; Acheli, DalilaVehicular visible light communication (V VLC) systems, when combined with reconfigurable intelligent surfaces (RIS), present promising opportunities for improving communication reliability and efficiency in vehicle to vehicle (V2V) environments. Nevertheless, safeguarding these systems at the physical layer remains a critical challenge, particularly given their exposure to jamming threats. In this study, we investigate the physical layer security performance of RIS assisted V2V VLC systems under jamming scenarios, employing realistic V2V VLC channel models. We develop a methodology to examine the impact of various security strategies in mitigating the adverse effects of jamming. Our analysis examines key parameters including the signal to noise ratio SNR, the secure communication rate and the count of RIS units. Simulation results confirm that the proposed security systems significantly enhance the resilience of V2V VLC networks in the presence of jamming attacks. These results offer useful perspectives for the reliable design structure and deployment of RIS based V2V VLC systems in practical vehicular communication settings.Item A Comprehensive Survey of Manta Ray Foraging Optimization: Theory, Variants, Hybridization, and Applications(Springer Science and Business Media, 2025) Yahia, Selma; Taleb, Sylia Makhmoukh; Ait Saadi, Amylia; Meraihi, Yassine; Bhuyan, Bikram Pratim; Mirjalili, Seyedali; Ramdane-Cherif, AmarThe Manta Ray Foraging Optimization (MRFO) algorithm is a recent Swarm-based meta-heuristic optimization algorithm inspired by the foraging behavior of manta rays in catching and hunting their prey, utilizing three main techniques (i.e.: chain foraging, somersault foraging, and cyclone foraging). Since its development by Zhao et al. (Neural Comput Appl 32:9777–9808, 2020; Eng Appl Artif Intell 87:103300, 2020), the MRFO algorithm has garnered significant attention among researchers and has been applied across various fields to solve real-world optimization problems. This is due to its simple structure, flexibility, ease of implementation, and reasonable convergence rate. This paper provides an extensive and in-depth survey of the MRFO algorithm including modification, multi-objective, and hybridized versions. It also examines the various applications of the MRFO algorithm in several domains of problems such as classification, feature selection, scheduling, robotics, photovoltaic power systems, optimal parameter control, and clustering. Furthermore, the results of the MRFO algorithm are compared with some well-regarded optimization meta-heuristics such as Differential Evolution (DE), Harmony Search (HS), Bat Algorithm (BA), Multi-Verse Optimizer (MVO), Grey Wolf Optimization (GWO), Sine Cosine Algorithm (SCA), Moth Flame Optimization (MFO), Henry Gas Solubility Optimization (HGSO), and White Shark Optimizer (WSO). Finally, the paper proposes some potential future research directions to further advance the MRFO’s capability and applicabilityItem A Monadic Second-Order Temporal Logic framework for hypergraphs(Springer Nature, 2024) Bhuyan, Bikram Pratim; Singh, Thipendra P.; Tomar, Ravi; Meraihi, Yassine; Ramdane-Cherif, AmarThis study introduces a novel computational framework integrating monadic second-order temporal logic (MSOTL) with hypergraph models to enhance the predictive analysis and prediction of complex systems, with a specific focus on urban agriculture. Traditional graph-based models often fail to capture the intricate, high-order temporal dynamics inherent in such systems. By leveraging the expressive power of MSOTL within a hypergraph context, our approach enables a more nuanced representation of temporal and relational data, leading to improved predictive accuracy and deeper analytical insights. The framework was applied to a comprehensive dataset of urban agricultural practices, incorporating data from diverse farming sites across multiple countries. Our results demonstrate the model’s capability to outperform existing methods in predicting agricultural outcomes by effectively capturing both the spatial and temporal complexities of urban farming data. The study not only advances the theoretical understanding of hypergraph-based temporal logic modeling but also offers an application for urban agricultural planning and management.Item Solving the LEDs placement problem in indoor VLC system using a hybrid coronavirus herd immunity optimizer(Springer Nature, 2024) Benayad, Abdelbaki; Boustil, Amel; Meraihi, Yassine; Yahia, Selma; Mekhmoukh Taleb, Sylia; Ait Saadi, Amylia; Ramdane-Cherif, AmarVisible light communication (VLC) is a developing technology enabling simultaneous illumination and communication between users. This is achieved by employing light emitting diodes (LEDs) as transmitters and photo-detectors (PDs) as receivers. In indoor visible light communication (VLC) systems, a significant challenge is the deployment of a various number of LEDs that accommodate different numbers of users. This particular problem falls under the category of Non-deterministic polynomial-time hard (NP-hard), making it difficult to find exact solutions in a reasonable amount of time. As a result, employing approximation approaches, particularly meta-heuristics, proves to be a suitable and effective way to address this challenge. In this paper, we propose a hybrid approach (ICHIO-FA) based on the combination of improved coronavirus herd immunity optimizer (ICHIO) with firefly algorithm (FA) for solving the LEDs placement problem in an indoor VLC system. In the proposed ICHIO-FA algorithm, the chaotic map concept is adopted to increase the chaotic stochastic behavior of the CHIO. Moreover, the opposition-based learning (OBL) mechanism is applied to enhance the convergence speed of CHIO and explore the search space effectively. Finally, FA is used as a local search method for ICHIO to avoid trapping into local optima. The effectiveness of the proposed ICHIO-FA algorithm is tested on several scenarios under different settings, taking into account the throughput and user coverage metrics. Simulation results demonstrate the accuracy and superiority of the ICHIO-FA approach in finding optimal LEDs positions when compared with the standard CHIO, FA, particle swarm optimization (PSO), genetic algorithm (GA), marine predators algorithm (MPA), whale optimization algorithm (WOA), manta ray foraging optimization (MRFO), bat algorithm (BA), grey wolf optimizer (GWO), and simulated annealing (SA).Item Capacity Maximization for V2I-VLC System with Angular Diversity Receiver(IEEE, 2023) Yahia, Selma; Meraihi, Yassine; Amar Ramdane, Cherif; Hossien B., Eldeeb; Muhaidat, SamiThis paper investigates the effectiveness of angle diversity technology-based vehicle-to-infrastructure (V2I) visible light communication (VLC) system designed for a multi-lane road scenario. Cars use their headlights to transmit signals to a traffic light pole, which is equipped with an angle diversity receiver (ADR) comprising three photodetectors (PD) arranged in different directions to improve signal reception from various directions. We utilize an advanced ray tracing channel modeling approach and investigate the impact of the number of PDs and the elevation angles on the received power. Additionally, we conduct a comprehensive performance analysis in terms of capacity, considering different car positions along the road. The results demonstrate that the V2I-VLC system with ADR achieves a channel capacity of over 2.5 Mb/s at a transmission distance of 50 meters, highlighting its potential to enhance V2I-VLC connectivity.Item Performance evaluation of vehicular Visible Light Communication based on angle-oriented receiver(Elsevier, 2022) Yahia, Selma; Meraihi, Yassine; Cherif, Amar Ramdane; Benmessaoud Gabis, Asma; B. Eldeeb, HossienVisible Light Communication (VLC) has emerged as a promising technology to complement radio frequencybased vehicular communications. Initial studies in Vehicle-to-Vehicle (V2V) VLC systems assumed that two vehicles follow each other with perfect alignment. Such idealistic assumption is not always maintained during traveling along the road. The lateral shift between the vehicles might strongly impact the system performance. In addition, the effect of the transceiver and system parameters on the performance of V2V-VLC systems should be taken into account. In this paper, we fill this research gap by investigating the performance of V2VVLC systems under the impact of the lateral shift between the vehicles and transceiver parameters. Then, we introduce the use of the angle-oriented receiver (AOR) in V2V-VLC systems to enhance the system performance in terms of achievable capacity, maximum achievable distance, and packet delivery ratio (PDR). The AOR consists of multiple receiving elements oriented in different directions. We further investigate the impact of the number of AOR elements, both the field-of-view (FoV) and the aperture diameter of each receiving element, and the bandwidth on the system performance. Our results demonstrate that with a carefully chosen system and AOR parameters, a higher system capacity of up to 61 Mb/s is achieved at a communication distance of 50 m.Item Energy harvesting based on SLIPT in I2V-VLC system(IEEE, 2023) Refas, Souad; Acheli, Dalila; Yahia, Selma; Meraihi, YassineVehicular connectivity is mostly based on wireless access. The vehicular applications may be limited due to the limited battery life of the equipment involved. To address this issue, a method based on simultaneous light wave information and power transfer (SLIPT) is proposed for harvesting the energy in the Infrastructure-to-Vehicle Visible Light Communication (I2VVLC) system. The purpose of SLIPT is to harvest energy using light sources while decoding information. This article studies the effect of SLIPT in an I2V-VLC system. In this method, the received light from the traffic light source at the vehicle is harvested while decoding the information signal. First, for I2VVLC channel modeling, a recent realistic channel model using the ray-tracing method is utilized. Then, we propose the energy harvesting analysis based on the SLIPT strategy. After that, we investigate the impact of both the longitudinal and lateral distance between the vehicle and the traffic light on the amount of harvested energy. Furthermore, we investigate the relationship between the achievable information rate and the harvested energy amount. The obtained results demonstrate the significant impact of the communication distance and the required information rate on the quantity of harvested energyItem Enhanced Whale Optimization Algorithm for mesh routers placement problem in wireless mesh networks(IEEE, 2022) Mekhmoukh Taleb, Sylia; Meraihi, Yassine; Yahia, Selma; Benmessaoud Gabis, Asma; Ramdane-Cherif, Amar; Acheli, DalilaIn order to address the placement issue for mesh routers in wireless mesh networks, this study suggests an enhanced variant of the Whale optimization Algorithm (WOA), called ELG-WOA. The Generalized Opposition Based-Learning (GOBL) and the Levy Flight Distribution (LFD) are two methods that were incorporated into the original WOA to form the foundation of the ELG-WOA. Four performance indicators, including coverage, connectivity, load balancing, and fitness value, are used to validate the performance of ELG-WOA. The simulation results showed that ELG-WOA outperformed WOA and Bat Algorithm (BA)Item 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, AsmaVisible 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 LEDsItem Energy harvesting based on SLIPT in V2V-VLC system under atmospheric weather conditions(2022) Refas, Souad Ikram; Acheli, Dalila; Yahia, Selma; Meraihi, Yassine; Ramdane-Cherif, Amar; Benmessaoud Gabis, Asma