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 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 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 addressedItem Advances in coyote optimization algorithm : variants and applications(Springer, 2023) Meraihi, Yassine; Gabis, Asma Benmessaoud; Ramdane-Cherif, Amar; Acheli, DalilaCoyote Optimization Algorithm (COA) is a recent population-based technique inspired by the attitude of coyotes in nature. COA has been widely applied to tackle different optimization issues in several areas and has proved its successfulness compared to several methods found in the literature. In this paper, we describe a brief overview of COA and its variants including adjusted and hybridized versions. Additionally, we present COA applications in various fields such as image segmentation, wireless mesh networks, economic dispatch, electric power systems, distributed generation, and other engineering issues. Finally, we recommend some interesting future research areas directions for COAItem Multi-Directional Vehicle-To-Vehicle Visible Light Communication With Angular Diversity Technology(IEEE, 2020) Yahia, Selma; Meraihi, Yassine; Benmessaoud Gabis, Asma; Ramdane-Cherif, AmarIn this paper, we investigate the performance of the multi-directional vehicle-to-vehicle (V2V) visible light communication (VLC) system by deploying the angle diversity technology. We consider a road with a multi-lanes configuration where multiple cars utilize their headlights to transmit the signals to a receiving car. Such car uses an angle diversity receiver consisting of three photodetectors (PDs) and oriented in different directions. The effect of the field-of-view angle (FoV) of the PD same as the semi-half angle of the transmitter on the received signal-to-noise-ratio (SNR) are investigated. We also investigate the impact of higher data rates on the system performance. The results show that the system can achieve an SNR higher than 13.6 dB at a transmission distance of 50 m. Such SNR value is required to achieve a reliable communication system with bit error rate (BER) less than 10 −3 .