# A Survey: Future Smart Cities Based on Advance Control of Unmanned Aerial Vehicles (UAVs)
## 1 Introduction
Although the majority of the market is currently focused on military applications, the future prospects for UAVs are promising. Economic interests, technological advancements, the miniaturization of onboard sensors, and the development of new algorithms and software have collectively driven the emergence of new applications, which in turn have created new business opportunities. While UAV surveying applications were the initial focus, more advanced applications have emerged, leading to new requirements and further expanding the scope of UAV utilization. Notably, UAV systems capable of rapid, automated, and autonomous geospatial data collection are making significant contributions to the ongoing fourth industrial revolution [8]. Indeed, new and emerging applications of UAVs continue to expand across various industries. Construction and infrastructure monitoring are prime examples of how UAVs are being utilized for aerial inspections, progress tracking, and site surveillance in construction projects. They offer efficient and  
Figure 1: Overview of article outline. cost-effective means of obtaining high-resolution imagery, collecting data, and monitoring project developments. Control theory (nonlinear, linear, intelligent control, and hybrid control) is important for UAVs in smart cities. UAVs, or drones, play a crucial role in various applications within smart cities, such as surveillance, delivery services, and infrastructure inspection. Control theory provides the foundation for designing and implementing control algorithms that enable UAVs to navigate, stabilize, and perform tasks autonomously. In smart cities, UAVs need to operate in complex and dynamic environments, where they must adapt to changing conditions and interact with other systems. Control theory helps in developing control strategies that allow UAVs to respond to environmental changes, avoid obstacles, optimize energy consumption, and ensure safe and efficient operations. Efficient control is essential for UAVs in smart cities as it enables them to operate autonomously, adapt to changing conditions, and perform tasks with precision and efficiency. This review article focuses on the contribution of efficient UAV control in optimizing age and power consumption in IoT applications. Below, you will find a comprehensive analysis based on the literature of the proposed research, highlighting key ideas for promoting the future of smart cities based on control actions of a controller:  
* Control theory serves as the cornerstone for designing stable and agile flight control algorithms, ensuring safe operations in bustling urban areas prone to obstacles and unpredictable weather [9]. Smart cities demand highly autonomous UAVs for efficient task execution. Control theory enables the creation of advanced navigation systems, allowing UAVs to navigate complex urban environments autonomously, evade obstacles, and dynamically adjust flight paths [10]. In smart city applications, UAVs often carry specialized payloads and sensors for tasks like surveillance and environmental monitoring. Control theory optimizes UAV motion and sensor coordination, enhancing data accuracy and critical information capture [11]. * Smart cities emphasize sustainability and energy conservation. Control theory aids in optimizing UAV flight trajectories and power management, thereby increasing energy efficiency and extending flight endurance. * Future smart cities might see the deployment of UAV swarms for collaborative tasks. Control theory enables swarm coordination, ensuring efficient communication, formation control, and the achievement of collective goals [12]. * As the number of UAVs in urban airspace increases, effective traffic management becomes essential to prevent collisions and congestion. Control theory is fundamental  
Figure 2: Scientific research articles according to SOPUS [6]. to designing collision avoidance and traffic coordination algorithms for safe and efficient UAV operations [13].