Thèse de Doctorat

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Browsing Thèse de Doctorat by Author "Bensalem Amina"

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    Optimisation de l’économie d’énergie dans les réseaux Ad Hoc de drones (UAANETs)
    (2022-09-08) Bensalem Amina
    Unmanned Aerial Vehicles (UAVs) are the output of advanced concepts in leading fields, such as autonomous systems, remote control, wireless communication, etc. They were mainly an exclusive military technology serving as a saver of pilots’ lives, where they take over all forms of perilous missions. For years, such a use kind was that common; the notable success in accomplishing tasks was behind the idea of going through a civilian experience. As expected, the UAVs were a game-changer for civil applications; outstanding achievements and a new lifestyle were there. Such a new form of use case gets an extended range once multi-UAV systems take place, where powerful features come out, overcoming the shortcomings the reason behind was the UAV’s limited resources. Adopting the Ad Hoc mode for communication, multi-UAV systems become Unmanned Aerial Ad Hoc Network (UAANET)—the new Ad Hoc networks kind—where nodes are UAVs and the deployment environment is the sky. Despite how UAANET was the momentum of UAVs applications’ efficiency, productivity, and simplicity, prominent challenges are letting performance mediocre that way needs are not met. Topping the list is the limited energy as a result of using very limited energy sources along with the constraints imposed on payloads. Consequently, energy-efficient solutions for UAANET are deemed of utmost importance due to the positive impact they could bring regarding applications’ efficiency, yield, and scope. In this context, intending to optimize energy saving in such an environment, we proposed the ElectriBio-inspired Energy-Efficient Self-organization model for UAANET (EBEESU), for a monitoring scenario, where a collection of contributions were involved in different levels under different forms. The notable positive impact of our contributions regarding average energy dissipation, cluster heads lifetime, data loss ratio, and End-To-End delay has been numerically proven through simulation results. Furthermore, an analysis of the achieved results and their comparison with other solutions adopted in the simulation scenario were presented.