GTSS-UC: a Game Theoretic approach for Services' Selection in UAV Clouds

Unmanned Aerial Vehicles (UAVs) cloud have attracted wide attentions from both industrial and academic communities as a new paradigm offering flexible services. This new concept utilizes the recent technologies of mobile cloud computing. The collaboration between these technologies represents a fantastic vision of the future, where everything is connected to the Internet, thereby offering intelligent services and facilitating decision-making between cooperative UAVs. In this work, we study the UAVs clouds computing services selection strategies. Our objectives are to (1) provide a detailed review of the existing services' selection methods and to (2) propose a new Game Theoretic approach for Selection of Services in UAV Clouds (GTSS-U C) aiming to enable normal users to select the most suitable UAV-Service-Provider. Given that every service’ provider is characterized by specific features, limitations, and prices, a user must select the most suitable provider. The technique of selection is based on the Game Theory (GT) method and takes into account the user requirements and the UAVs provider qualities to find the most adequate provider. The results of the simulation conducted using NS-2 simulator advocate for the efficiency of our method in both network Quality-of-Service and Service gain.