Communications Internationales
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Item Hybrid whale optimization algorithm with simulated annealing for the UAV placement problem(Springer Nature, 2024) Taleb, Sylia Mekhmoukh; Meraihi, Yassine; Yahia, Selma; Ramdane-Cherif, Amar; Gabis, Asma Benmessaoud; Acheli, DalilaThis chapter suggests a hybrid algorithm based on the combination of whale optimization algorithm (WOA) with simulated annealing (SA), called WOA-SA, for solving the unmanned aerial vehicle (UAV) placement problem. WOA-SA combines WOA’s global search functionality with SA’s local search functionality. The main objective of our work is to determine the optimal position of the UAV in order to maximize the total throughput, depending on a given set of user locations and traffic demands. The WOA-SA algorithm is validated in terms of the total throughput using 18 distinct instances with various numbers of users, taking into account the effect of the distribution of user positions. The results of simulation using Matlab demonstrated that the WOA-SA algorithm obtains better results than WOA, SA, Particle Swam Optimization (PSO), Genetic Algorithm (GA), and Bat Algorithm (BA).Item An Enhanced white shark optimization algorithm for unmanned aerial vehicles placement(Springer Nature, 2024) Saadi, Amylia Ait; Soukane, Assia; Meraihi, Yassine; Gabis, Asma Benmessaoud; Ramdane-Cherif, Amar; Yahia, SelmaIn this chapter, we propose an Elite Opposition-Based White Shark Optimization (ELWSO) Algorithm, for tackling the Unmanned Aerial Vehicles (UAVs) Placement problem in smart cities. The proposed EWSO scheme is based on the incorporation of the Elite opposition-based strategy to ameliorate the optimization efficiency of the original WSO. EWSO was assessed in terms of fitness, coverage, and connectivity metrics under 23 cases with different numbers of UAVs and users. The results of simulated experiments, conducted using MATLAB 2021b version, revealed that the EWSO algorithm outperforms the basic WSO, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Bat Algorithm (BA).Item An enhanced aquila-based resource allocation for efficient indoor IoT visible light communication(Institute of Electrical and Electronics Engineers Inc., 2023) Yahia, Selma; Meraihi, Yassine; Taleb, Sylia Mekhmoukh; Mirjalili, Seyedali; Ramdane-Cherif, Amar; Ho, Tu Dac; Eldeeb, Hossien B.; Muhaidat, SamiVisible light communication (VLC) is a rapidly growing wireless communication technology for the Internet of Things (IoT) that offers high data rates and low latency, making it ideal for massive connectivity. Efficient resource allocation is essential in VLC networks to minimize inter-symbol and cochannel interferences, which can greatly improve network performance and user satisfaction. This paper focuses on an indoor IoT-based VLC system that utilizes photodetectors (PDs) on users' cell phones as receivers, with the goal of maximizing system performances and reducing power consumption by selectively activating some PDs while deactivating others. However, this objective presents a challenge due to the inherent non-convex nature of the multi-objective optimization problem, which cannot be solved by analytical means. To address this, we propose an enhanced Aquila optimization (EAO) scheme that improves upon the Aquila Optimizer (AO) by incorporating a fitness distance balance (FDB) function. We evaluate our proposed EAO in various scenarios under different settings, considering both capacity and fairness metrics. Through simulations, we demonstrate the effectiveness of our approach and its superiority over classical algorithms such as Aquila Optimizer (AO), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO) in finding the optimal solution. Our results confirm that the proposed EAO algorithm can efficiently optimize the system capacity and ensure fairness among all users, providing a promising solution for indoor VLC systemsItem 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 Is visible light communications suitable for using in lane-changing maneuvers?(Institute of Electrical and Electronics Engineers, 2023) Meghraoui, Aicha; Tayebi, Mohamed; Besseghier, Mokhtar; Yahia, Selma; B. Eldeeb, Hossien; Nhan Vo, Van; Dac Ho, TuLane-changing behaviour is a crucial aspect of driving that requires a safe and efficient driving environment. To achieve this, an accurate perception of the surrounding vehicles and environment is essential, enabling the vehicle to make informed lane-changing decisions and ultimately improving the process’s reliability and success rate. This paper uses a non-sequential ray channel modelling approach to investigate visible light communication (VLC) in lane change applications. The vehicle’s headlamps and taillights act as wireless transmitters, while photo-detectors on other vehicles act as wireless receivers. The system performance is evaluated in terms of bit error rate (BER), spectral efficiency, and packet delivery ratio (PDR) for different inter-vehicle distances and lateral shifts. The effect of vehicle velocity on the system performance is also investigated. The results demonstrated that VLC could be qualified for exchanging data between the cars for a safe lane change. It also showed significant vehicle position and velocity impacts on the system performance during this process.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, AsmaItem On the performance of MIMO vehicular visible light communications(Springer, 2023) Yahia, Selma; Meraihi, Yassine; Gabis, Asma Benmessaoud; Ramdane-Cherif, AmarVehicular communication has attracted much interest as one of the essential elements of intelligent transportation systems. It allows connectivity and data sharing between the traveling vehicles along the road in a way to improve road safety and offer comfortable driving during trips. In this paper, we investigate the performance of Multiple-Input Multiple-Output (MIMO) vehicular communication system utilizing the visible light communication (VLC) technology. Specifically, we consider a VLC based-vehicle-to-vehicle (V2V) system, where the two vehicles follow each other on a single-lane road. We construct a 2 × 2 MIMO transmission system utilizing the two headlights of the source vehicle as wireless transmitters while two photodetectors (PDs) are installed at the destination vehicle acting as wireless receivers. For obtaining the optical channel gain, we adopt the ray-tracing of OpticStudio taking into account the possibility of both vertical and horizontal displacements between the vehicles same as the effect of weather conditions. The received optical power and the bit-error-rate (BER) are investigated for each MIMO link between transmitters and receivers. The impact of displacements, weather conditions, and receiver apertures is also addressed