# A Survey: Future Smart Cities Based on Advance Control of Unmanned Aerial Vehicles (UAVs)
## 1 Introduction  
To define the scope of the survey article, the research question or objective that the survey aims to address and the methodology are outlined in Figure 1. Optimizing age and power consumption in Internet of Things (IoT) applications using unmanned aerial vehicles (UAVs) and their battery recharge is a crucial undertaking for the development of future smart cities [1]. Optimizing the flight paths of UAVs to minimize age and power consumption, while ensuring comprehensive data coverage, holds significant importance. Leveraging UAVs for environmental monitoring presents both challenges and opportunities, particularly in collecting data from remote or inaccessible regions. The effectiveness of UAV systems has been exemplified through various case studies, showcasing their potential impact [2]. Efficient control of UAVs plays a crucial role in the betterment of smart cities. UAVs equipped with advanced control systems can efficiently navigate through urban environments, collecting high-quality data from various sensors. This data is invaluable for smart city applications, such as traffic management, environmental monitoring, and infrastructure assessment. By controlling UAVs effectively, cities can gather accurate and real-time information, enabling informed decision-making and proactive interventions [3, 4]. UAVs with efficient control algorithms can optimize the use of available resources in smart cities. For instance, they can monitor utility networks, detect leakages or faults, and assist in maintenance activities. By identifying inefficiencies and potential problems promptly, cities can improve the reliability and sustainability of critical infrastructure systems like water supply, electricity grids, and waste management. UAVs with precise control capabilities can be deployed for surveillance and security purposes in smart cities. They can monitor crowded areas, identify suspicious activities, and provide real-time situational awareness tolaw enforcement agencies [5]. With efficient control, UAVs can navigate complex urban environments, maintain stable flight paths, and quickly respond to emerging security threats. During emergencies such as natural disasters or accidents, UAVs with efficient control systems can be deployed for rapid response and rescue operations. They can quickly reach inaccessible or hazardous areas, assess the situation, and provide critical information to emergency responders. By streamlining rescue efforts and improving coordination, efficient control of UAVs can save lives and minimize damage in smart cities. UAVs can play a significant role in improving transportation systems within smart cities. With efficient control algorithms, they can support traffic management, monitor congestion, and provide real-time data for route optimization. UAVs can also facilitate last-mile delivery services, reducing traffic congestion and enhancing efficiency in urban logistics [6]. UAVs have emerged as a highly significant technology in the geoscience and remote sensing fields over the past twenty years. They have gained popularity across various applications and have often replaced other platforms due to their versatility and relatively affordable costs. This rise in prominence is evident from the substantial number of scientific papers dedicated to UAVs published across different research communities during this period. According to Scopus, more than 80,000 papers have been published since 2001 using terms like \"UAV\", \"drone\", \"UAS\", and \"RPAS\" in the title or keywords (Figure 2). The majority of these publications are within the engineering and computer science domains [7]. This growing interest in UAVs from the scientific community is not limited to a single citation indexing database, as other databases also reflect this trend. Furthermore, the UAV business has experienced significant financial growth, with a valuation of several billion dollars per year.