| Titre : | Integration des UAVs dans le Cloud | | Type de document : | texte manuscrit | | Auteurs : | Sarah Djeradi, Auteur ; Nasreddine Lagraa, Directeur de thèse ; Taher Bendouma, Directeur de thèse | | Editeur : | Laghouat : Université Amar Telidji - Département d'informatique | | Année de publication : | 2023 | | Importance : | 99 p. | | Format : | 27 cm | | Accompagnement : | 1 disque optique numérique (CD-ROM) | | Langues : | Anglais | | Catégories : | THESES :10 informatique
| | Mots-clés : | Unmanned Aerial Vehicles (UAVs) Cloud Computing Edge Computing IoT IoV UUCA PAV-MACRIS CROVER-EC | | Résumé : | Unmanned technology is a revolutionary technology that has applications in nearly all sectors. UAVs and other robotic systems have demonstrated considerable promise in a range of applications over the last decade. Moreover, UAVs are considered as Flying Things (FT) and can be exploited as an emerging concept based on the integration of IoT objects into UAVs and using their services directly without UAV- relay. Hence, UAV with their capabilities and embedded sensors and devices, may be accessed as cloud resources and considered as providers or consumers of services via LTE, 5G, VANETs and Mesh communications. Besides, due to the high mobility of UAVs, consumers need first to discover the UAVs providers and their services before being able to consume required services.
In this thesis, we targeted both UAV-Cloud integration and UAV service offering and consumption process. First, we proposed a novel UAV Cloud Platform that covers a Universal UAV Cloud Architecture (UUCA). It comprises three layers. The middleware layer receives and processes requests from the end-user layer, then orchestrates activities where it plans missions and choose from the infrastructure layer and the edge the appropriate UAV to satisfy consumer requests. The interaction between the different layers was made possible using two new protocols proposed to deal with the service request and the consumption scenarios. Moreover, UAVs is highly extensible and can advertise offers and receive requests in a centralized or a distributed way by integrating a new module to its system.
Second, we have addressed the challenge of how to discover and consume real-time as well as delay tolerant UAVs’ services, offered through the Cloud infrastructure. We have focused on a scenario in which ground vehicles are asking for such UAVs’ services through different wireless communication technologies. We have developed a new protocol, called PAV-MACRIS, enabling user vehicles first to discover offered services, then to select and consume the required services. We have validated the performance of our protocol throughout simulation experiments.
Finally, we have investigated the suitability of edge computing for emerging UAVs services over Internet of Vehicles networks. To do so, we proposed a novel protocol that moves UAVs services at the edge networks and deals with the offer, discover and consumption scenarios enabling vehicle drivers benefiting of these services. We described how the protocol is based on UAVs and Taxies vehicles as a part of the Edge and Fog environment, respectively. The taxi vehicles act as Micro-Directories to store the published UAVs services, and from which drivers discover these offers and request them from UAVs services providers. Theviii simulation results show the efficiency of our protocol in clearly optimizing the discovering, offering, and consuming delays when leveraging taxi vehicles as fog computing nodes. | | note de thèses : | Thèse de doctorat en informatique |
Integration des UAVs dans le Cloud [texte manuscrit] / Sarah Djeradi, Auteur ; Nasreddine Lagraa, Directeur de thèse ; Taher Bendouma, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2023 . - 99 p. ; 27 cm + 1 disque optique numérique (CD-ROM). Langues : Anglais | Catégories : | THESES :10 informatique
| | Mots-clés : | Unmanned Aerial Vehicles (UAVs) Cloud Computing Edge Computing IoT IoV UUCA PAV-MACRIS CROVER-EC | | Résumé : | Unmanned technology is a revolutionary technology that has applications in nearly all sectors. UAVs and other robotic systems have demonstrated considerable promise in a range of applications over the last decade. Moreover, UAVs are considered as Flying Things (FT) and can be exploited as an emerging concept based on the integration of IoT objects into UAVs and using their services directly without UAV- relay. Hence, UAV with their capabilities and embedded sensors and devices, may be accessed as cloud resources and considered as providers or consumers of services via LTE, 5G, VANETs and Mesh communications. Besides, due to the high mobility of UAVs, consumers need first to discover the UAVs providers and their services before being able to consume required services.
In this thesis, we targeted both UAV-Cloud integration and UAV service offering and consumption process. First, we proposed a novel UAV Cloud Platform that covers a Universal UAV Cloud Architecture (UUCA). It comprises three layers. The middleware layer receives and processes requests from the end-user layer, then orchestrates activities where it plans missions and choose from the infrastructure layer and the edge the appropriate UAV to satisfy consumer requests. The interaction between the different layers was made possible using two new protocols proposed to deal with the service request and the consumption scenarios. Moreover, UAVs is highly extensible and can advertise offers and receive requests in a centralized or a distributed way by integrating a new module to its system.
Second, we have addressed the challenge of how to discover and consume real-time as well as delay tolerant UAVs’ services, offered through the Cloud infrastructure. We have focused on a scenario in which ground vehicles are asking for such UAVs’ services through different wireless communication technologies. We have developed a new protocol, called PAV-MACRIS, enabling user vehicles first to discover offered services, then to select and consume the required services. We have validated the performance of our protocol throughout simulation experiments.
Finally, we have investigated the suitability of edge computing for emerging UAVs services over Internet of Vehicles networks. To do so, we proposed a novel protocol that moves UAVs services at the edge networks and deals with the offer, discover and consumption scenarios enabling vehicle drivers benefiting of these services. We described how the protocol is based on UAVs and Taxies vehicles as a part of the Edge and Fog environment, respectively. The taxi vehicles act as Micro-Directories to store the published UAVs services, and from which drivers discover these offers and request them from UAVs services providers. Theviii simulation results show the efficiency of our protocol in clearly optimizing the discovering, offering, and consuming delays when leveraging taxi vehicles as fog computing nodes. | | note de thèses : | Thèse de doctorat en informatique |
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