Contribution to the UAV-based mobile edge computing communication strategies / Yousra Cheriguene

Public ISBD Titre : Contribution to the UAV-based mobile edge computing communication strategies Type de document : document multimédia Auteurs : Yousra Cheriguene, Auteur ; Chaker Abdelaziz Kerrache, Directeur de thèse ; Fatima Zahra Bousbaa, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Département d'informatique Année de publication : 2024 Importance : 120 p. Langues : Anglais Mots-clés : Unmanned aerial vehicle  UAV  Federated learning  FL  Edge computing  MEC Résumé : In recent years, the surge in data from smart devices and the Internet of Things (IoT) has propelled the need for efficient data storage, transportation, and analysis. This has led to a groundbreaking era in wireless communication and computing frameworks with the integration of Unmanned Aerial Vehicles (UAVs) in Mobile Edge Computing (MEC). This thesis explores UAV-assisted MEC, highlighting opportunities and addressing key challenges, specifically focusing on implementing Federated Learning (FL). FL, a decentralized machine learning (ML) method, allows users to collectively train an ML model without revealing their private local datasets. The thesis first optimizes UAV participant selection for edge FL, enhancing accuracy by considering factors like energy consumption, communication quality, and local dataset diversity. Empirical studies demonstrate the superior performance of the proposed selection scheme over the random selection benchmark. The second contribution introduces a novel client selection method improving convergence by prioritizing UAVs with high reliability and excluding malicious UAVs. The strategy outperforms baseline methods, as verified by evaluations under diverse attack scenarios. The third contribution presents an energy-efficient inter-UAV multicast routing protocol, COCOMA, and its enhancement, COCOMA+. Extensive simulations confirm their efficacy in establishing an efficient communication backbone with Quality-of-Service (QoS) attributes and reducing total emission energy. The thesis concludes by outlining open challenges and initiating discussions on future research directions in UAV-assisted MEC, fostering continued advancements and innovation. note de thèses : Thése de doctorat en informatique Contribution to the UAV-based mobile edge computing communication strategies [document multimédia] / Yousra Cheriguene, Auteur ; Chaker Abdelaziz Kerrache, Directeur de thèse ; Fatima Zahra Bousbaa, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2024 . - 120 p. Langues : Anglais Mots-clés : Unmanned aerial vehicle  UAV  Federated learning  FL  Edge computing  MEC Résumé : In recent years, the surge in data from smart devices and the Internet of Things (IoT) has propelled the need for efficient data storage, transportation, and analysis. This has led to a groundbreaking era in wireless communication and computing frameworks with the integration of Unmanned Aerial Vehicles (UAVs) in Mobile Edge Computing (MEC). This thesis explores UAV-assisted MEC, highlighting opportunities and addressing key challenges, specifically focusing on implementing Federated Learning (FL). FL, a decentralized machine learning (ML) method, allows users to collectively train an ML model without revealing their private local datasets. The thesis first optimizes UAV participant selection for edge FL, enhancing accuracy by considering factors like energy consumption, communication quality, and local dataset diversity. Empirical studies demonstrate the superior performance of the proposed selection scheme over the random selection benchmark. The second contribution introduces a novel client selection method improving convergence by prioritizing UAVs with high reliability and excluding malicious UAVs. The strategy outperforms baseline methods, as verified by evaluations under diverse attack scenarios. The third contribution presents an energy-efficient inter-UAV multicast routing protocol, COCOMA, and its enhancement, COCOMA+. Extensive simulations confirm their efficacy in establishing an efficient communication backbone with Quality-of-Service (QoS) attributes and reducing total emission energy. The thesis concludes by outlining open challenges and initiating discussions on future research directions in UAV-assisted MEC, fostering continued advancements and innovation. note de thèses : Thése de doctorat en informatique

Multicast routing in swarm of UAVs / Soumia Djellikh

Public ISBD Titre : Multicast routing in swarm of UAVs Type de document : texte manuscrit Auteurs : Soumia Djellikh, Auteur ; Yousra Cheriguene, Auteur ; Fatima Zahra Bousbaa, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Département d'informatique Année de publication : 2020 Importance : 55 p. Format : 30 cm. Accompagnement : 1 disque optique numérique (CD-ROM) Note générale : Option : Systems and computer science networks Langues : Anglais Mots-clés : UAVS  Swarm of UAVS  Multicast Routing Protocol  SEMRP-V1  SEMRP- V2 Résumé : Recently, the deployment of a swarm of cooperative Unmanned Aerial Vehicles (UAVS) to pursue a task is enjoying increasing success, since a group of UAVS instead of one single UAV leads to many advantages, for example the possibility to extend the mission coverage, to guarantee a reliable ad-hoc network, or to enhance the service performance. However, it also poses many challenges in designing networking protocols such as, the dynamic topology change. In this work, we study the multicast routing problem in swarm of UAVS, which aims at delivering information to specific members of flying nodes. Our objective is to provide detailed classification of existing swarm routing protocols considering transmission strategies and to propose a new Energy eflicient Multicast Routing Protocol for UAVS Swarm (SEMRP) taking into consideration the aforementioned challenges and aimning to satisfy COronaVirus Disease 2019 (COVID-19) applications. The results of the simulation conducted using NS-2 simulator advocate for the efficiency of our method through two proposed versions (SEMRP-V1 and SEMRP-V2) in term of reducing the total emission energy (at least by 10 dBm), optimizing the End-to-End Delay by 44%, and increasing the packet delivery ratio by more than to 22% compared to SP-GMRF protocol. note de thèses : Mémoire de master en informatique Multicast routing in swarm of UAVs [texte manuscrit] / Soumia Djellikh, Auteur ; Yousra Cheriguene, Auteur ; Fatima Zahra Bousbaa, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2020 . - 55 p. ; 30 cm. + 1 disque optique numérique (CD-ROM). Option : Systems and computer science networks Langues : Anglais Mots-clés : UAVS  Swarm of UAVS  Multicast Routing Protocol  SEMRP-V1  SEMRP- V2 Résumé : Recently, the deployment of a swarm of cooperative Unmanned Aerial Vehicles (UAVS) to pursue a task is enjoying increasing success, since a group of UAVS instead of one single UAV leads to many advantages, for example the possibility to extend the mission coverage, to guarantee a reliable ad-hoc network, or to enhance the service performance. However, it also poses many challenges in designing networking protocols such as, the dynamic topology change. In this work, we study the multicast routing problem in swarm of UAVS, which aims at delivering information to specific members of flying nodes. Our objective is to provide detailed classification of existing swarm routing protocols considering transmission strategies and to propose a new Energy eflicient Multicast Routing Protocol for UAVS Swarm (SEMRP) taking into consideration the aforementioned challenges and aimning to satisfy COronaVirus Disease 2019 (COVID-19) applications. The results of the simulation conducted using NS-2 simulator advocate for the efficiency of our method through two proposed versions (SEMRP-V1 and SEMRP-V2) in term of reducing the total emission energy (at least by 10 dBm), optimizing the End-to-End Delay by 44%, and increasing the packet delivery ratio by more than to 22% compared to SP-GMRF protocol. note de thèses : Mémoire de master en informatique

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