Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in multimedia networks. This paper addresses a comprehensive survey of almost scenarios utilizing UAVs and UGVs with strogly emphasising on UAVs for data collection in WSNs. Either UGVs or UAVs can collect data from static sensor nodes in the monitoring fields. UAVs can either work alone to collect data or can cooperate with other UAVs to increase their coverage in their working fields. Different techniques to support the UAVs are addressed in this survey. Communication links, control algorithms, network structures and different mechanisms are provided and compared. Energy consumption or transportation cost for such scenarios are considered. Opening issues and challenges are provided and suggested for the future developments.

Wireless power transfer (WPT) techniques are important in a variety of applications in both civilian and military fields. Unmanned aerial vehicles (UAVs) are being used for many practical purposes, such as monitoring or delivering payloads. There is a trade-off between the weight of the UAVs or their batteries and their flying time. Their working time is expected to be as long as possible. In order to support the UAVs to work effectively, WPT techniques are applied with UAVs to charge secondary energy supply sources in order to increase their working time. This paper reviews common techniques of WPT deployed with UAVs to support them while working for different purposes. Numerous approaches have been considered to illustrate techniques to exploit WPT techniques. The charging distances, energy harvesting techniques, electronic device improvements, transmitting issues, etc., are considered to provide an overview of common problems in utilizing and charging UAVs. Moreover, specific problems are addressed to support suitable solutions with either techniques or applications for UAVs.

This paper initially discusses the application of a Sliding Mode Controller (SMC) for drone control, encompassing vertical takeoff and landing. Subsequently, the dynamic model of the quadcopter is formulated using the Newton-Euler method. Despite the challenges posed by the nonlinear characteristics of Unmanned Aerial Vehicles (UAVs), empirical evidence from previous tests and simulation studies underscores the efficacy of the SMC in delivering satisfactory performance and robust resistance against interference. Moreover, this research endeavors to present a quadcopter model and simulation, leveraging the SMC alongside the Newton-Euler formula to enhance control precision in the face of external magnetic disturbances affecting the UAV. Both the position and attitude of the UAV are governed by the SMC. The dynamic and control models of the quadcopter are implemented and visualized in MATLAB, culminating in results that substantiate the efficacy of the proposed controller across diverse scenarios. Furthermore, the performance of the proposed control method is compared with alternative methodologies such as PID, particularly in scenarios involving disturbances. The simulation results indicate promising and practical implications.