Intelligent routing protocols in vehicular ad hoc networks / Omar Sami Oubbati

Public ISBD Titre : Intelligent routing protocols in vehicular ad hoc networks Type de document : texte manuscrit Auteurs : Omar Sami Oubbati, Auteur ; Abderrahmane Lakas, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Département d'informatique Année de publication : 2017 Importance : 167 p Format : 27 cm Accompagnement : 1 disque optique numérique (CD-ROM) Langues : Anglais Mots-clés : Routing protocols  UAVs  Urban area  Connectivity  VANETs Résumé : Vehicular ad hoc networks (VANETs) are considered as a fundamental technology to manage the intelligent transportation systems (ITS), which are a set of innovative technologies enabling a wide range of road traffic management and safety services. VANETs have gone from a simple curiosity stage to a true interest from both the point of view of the automotive industry and the operators of networks and services. Indeed, these networks are an emerging class of wireless networks, allowing data exchange between vehicles or between vehicles and infrastructures placed along the roads and provide new technologies to improve the safety and efficiency of road transport. Following this same vision, commercial Unmanned Aerial Vehicles (UAVs) or what are commonly referred to as drones, have been increased significantly over urban areas because of their affordable prices and the multiplication of different useful applications in which the UAVs can be the suitable support during their functioning. Consequently, we can consider vehicles and UAVs as two different entities, with different properties, belonging to the same area, and can form a single network dealing with various common constraints over this kind of environment. In this context, in this thesis, we are interested in the process of inter-vehicle communications in urban areas. Our aim is to propose a set of routing solutions meeting the constraints and difficulties of such environments based on the cooperation of UAVs with VANETs. Firstly, we propose a routing scheme which relies on selecting, at each moment and ahead of time, the most connected road segments towards the target destinations based on the Hello packets exchanged periodically between vehicles with the assistance of UAVs acting as supervisors. Secondly, we propose a routing scheme which consists of two routing components, the first supports the wireless communications on the ground exclusively between vehicles, while the second operates in the sky in order to support the communications exclusively between UAVs. Finally, we introduce a reactive-based routing approach based on a prediction technique to calculate the expiration time of each discovered routing path between communicating entities. Our proposed approaches are promising candidates for routing in VANETs, which can realize reliable and efficient end-to-end communications between nodes in urban areas. On the other hand, the performances of our approaches are evaluated based on a series of simulations, and its merits and pitfalls are well discussed. note de thèses : Thèse de doctorat en informatique Intelligent routing protocols in vehicular ad hoc networks [texte manuscrit] / Omar Sami Oubbati, Auteur ; Abderrahmane Lakas, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2017 . - 167 p ; 27 cm + 1 disque optique numérique (CD-ROM). Langues : Anglais Mots-clés : Routing protocols  UAVs  Urban area  Connectivity  VANETs Résumé : Vehicular ad hoc networks (VANETs) are considered as a fundamental technology to manage the intelligent transportation systems (ITS), which are a set of innovative technologies enabling a wide range of road traffic management and safety services. VANETs have gone from a simple curiosity stage to a true interest from both the point of view of the automotive industry and the operators of networks and services. Indeed, these networks are an emerging class of wireless networks, allowing data exchange between vehicles or between vehicles and infrastructures placed along the roads and provide new technologies to improve the safety and efficiency of road transport. Following this same vision, commercial Unmanned Aerial Vehicles (UAVs) or what are commonly referred to as drones, have been increased significantly over urban areas because of their affordable prices and the multiplication of different useful applications in which the UAVs can be the suitable support during their functioning. Consequently, we can consider vehicles and UAVs as two different entities, with different properties, belonging to the same area, and can form a single network dealing with various common constraints over this kind of environment. In this context, in this thesis, we are interested in the process of inter-vehicle communications in urban areas. Our aim is to propose a set of routing solutions meeting the constraints and difficulties of such environments based on the cooperation of UAVs with VANETs. Firstly, we propose a routing scheme which relies on selecting, at each moment and ahead of time, the most connected road segments towards the target destinations based on the Hello packets exchanged periodically between vehicles with the assistance of UAVs acting as supervisors. Secondly, we propose a routing scheme which consists of two routing components, the first supports the wireless communications on the ground exclusively between vehicles, while the second operates in the sky in order to support the communications exclusively between UAVs. Finally, we introduce a reactive-based routing approach based on a prediction technique to calculate the expiration time of each discovered routing path between communicating entities. Our proposed approaches are promising candidates for routing in VANETs, which can realize reliable and efficient end-to-end communications between nodes in urban areas. On the other hand, the performances of our approaches are evaluated based on a series of simulations, and its merits and pitfalls are well discussed. note de thèses : Thèse de doctorat en informatique

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Studies and modeling of information sharing and dissemination techniques in vehicular networks / Abdelkader Ilyes Ameur

Public ISBD Titre : Studies and modeling of information sharing and dissemination techniques in vehicular networks Type de document : document multimédia Auteurs : Abdelkader Ilyes Ameur, Auteur ; Abderrahmane Lakas, Directeur de thèse ; Mohamed Bachir Yagoubi, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Département d'informatique Année de publication : 2024 Importance : 169 p Accompagnement : 1 disque optique numérique (CD-ROM) Langues : Anglais Mots-clés : Unmanned Aerial Vehicle (UAV)  Peer-to-Peer (P2P)  Vehicular Ad hoc Network (VANET)  Connectivity  Deep Q Network (DQN) Résumé : The Peer-to-Peer (P2P) concept within Vehicular Ad-Hoc Networks (VANETs) facilitates instantaneous information sharing among vehicles, leading to a seamless exchange of multimedia content, enhanced traffic management, heightened road safety, and ultimately contributing to a transportation ecosystem that is both more enjoyable and secure. However, the P2P paradigm faces challenges like network scalability, reliability, frequent topology changes in vehicular environments, and weak resource management. Commercial Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, have significantly increased in urban areas due to their affordability and various useful applications. Consequently, vehicles and UAVs can be seen as two different entities with unique properties that belong to the same area, forming a single network that addresses common constraints in such environments. The integration of UAVs into VANETs introduces additional complexity but also provides opportunities to enhance network performance and resilience. To address the issues in VANETs, we propose an innovative solution leveraging an aerial backbone consisting of a connected group of UAVs. This system efficiently covers the entire terrestrial vehicular environment, ensuring efficient data sharing and distribution, effectively acting as an aerial P2P overlay. The establishment of this aerial backbone considers two critical factors: (i) the connectivity degree among UAVs and (ii) their remaining energy levels. To maintain these factors and ensure constant data availability, we adopt a Deep Q Network (DQN) method to optimize UAV movements according to terrestrial environment dynamics. The UAVs’ flight paths and communication patterns are dynamically adjusted in real-time, responding to changes in vehicle density and movement patterns, ensuring robustness and efficiency. After conducting a series of simulations, our methodology demonstrates marked superiority over existing baseline techniques in terms of lookup time and success rate. The integration of UAVs as a dynamic aerial layer enhances redundancy and fault tolerance, significantly mitigating the impact of node failures and network partitions. This approach ensures that our system remains robust and efficient, providing a reliable and scalable network infrastructure for intelligent transportation systems. note de thèses : Thèse de doctorat en informatique Studies and modeling of information sharing and dissemination techniques in vehicular networks [document multimédia] / Abdelkader Ilyes Ameur, Auteur ; Abderrahmane Lakas, Directeur de thèse ; Mohamed Bachir Yagoubi, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2024 . - 169 p + 1 disque optique numérique (CD-ROM). Langues : Anglais Mots-clés : Unmanned Aerial Vehicle (UAV)  Peer-to-Peer (P2P)  Vehicular Ad hoc Network (VANET)  Connectivity  Deep Q Network (DQN) Résumé : The Peer-to-Peer (P2P) concept within Vehicular Ad-Hoc Networks (VANETs) facilitates instantaneous information sharing among vehicles, leading to a seamless exchange of multimedia content, enhanced traffic management, heightened road safety, and ultimately contributing to a transportation ecosystem that is both more enjoyable and secure. However, the P2P paradigm faces challenges like network scalability, reliability, frequent topology changes in vehicular environments, and weak resource management. Commercial Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, have significantly increased in urban areas due to their affordability and various useful applications. Consequently, vehicles and UAVs can be seen as two different entities with unique properties that belong to the same area, forming a single network that addresses common constraints in such environments. The integration of UAVs into VANETs introduces additional complexity but also provides opportunities to enhance network performance and resilience. To address the issues in VANETs, we propose an innovative solution leveraging an aerial backbone consisting of a connected group of UAVs. This system efficiently covers the entire terrestrial vehicular environment, ensuring efficient data sharing and distribution, effectively acting as an aerial P2P overlay. The establishment of this aerial backbone considers two critical factors: (i) the connectivity degree among UAVs and (ii) their remaining energy levels. To maintain these factors and ensure constant data availability, we adopt a Deep Q Network (DQN) method to optimize UAV movements according to terrestrial environment dynamics. The UAVs’ flight paths and communication patterns are dynamically adjusted in real-time, responding to changes in vehicle density and movement patterns, ensuring robustness and efficiency. After conducting a series of simulations, our methodology demonstrates marked superiority over existing baseline techniques in terms of lookup time and success rate. The integration of UAVs as a dynamic aerial layer enhances redundancy and fault tolerance, significantly mitigating the impact of node failures and network partitions. This approach ensures that our system remains robust and efficient, providing a reliable and scalable network infrastructure for intelligent transportation systems. note de thèses : Thèse de doctorat en informatique

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