## 1 Introduction
Contemplating the increase in the use of drones for precision agriculture remote sensing activities, adding new functionalities to benefit from the itinerary of the drone is an aspect to consider Precision agriculture includes the use of WSNs (Wireless Sensor Networks) as well. The design of these WSNs can vary depending on the node density, on the topology, or the communication technology. However, using the UAVs currently employed for image and video capture of the crops as a mobile gateway to gather the data from the sensor nodes deployed on the field is a solution to consider. These drones already have a flight plan designed to capture the required images to map the fields or detecting diseases, pests, or water stress on the plants. Furthermore, significant efforts have been made for implementing low-cost PA solutions in developing countries, in which the internet connection might not be as extended as in developed countries. In these cases, we can use the drone, which has an internet connection, to serve as a mobile gateway for the WSN deployed in the soil. Nevertheless, aspects such as the required flight height and speed to ensure good image captures as well as local regulations and the characteristics of the drone have to be considered. It is important to note that the flying parameters of the drone have been set to optimize the process of gathering pictures or video, and those parameters cannot be modified. In this paper, we evaluate the adequacy of remote sensing drones to perform gateway functionalities for a WSN deployed on the soil, providing a guide for choosing the best drone parameters for successful data transmission between sensor nodes and the gateway. In order to do so, we consider the scenario of precision agriculture fields where an imaging drone is already being used for imaging purposes. This situation can be challenging, as the existing flight plan limits the time the drone can keep the node within its coverage area. The drone carries the node that acts as a gateway and gathers the data from the nodes while the drone performs its imaging functions. Furthermore, we have presented the required architecture and algorithms for our proposal. To ensure that the drone can be used as a mobile gateway, several configurations have been simulated for the scenario, considering WSN and drone parameters. We have considered the flying height and velocity for the drone. On the other hand, we have selected different node densities and antenna coverage as WSN parameters. With the flying height and antenna coverage, we have determined if the node has coverage or not. Including the flying velocity, we calculated, using the sagitta of the circular arch equations, the time in coverage for each node. Then, considering the minimum required time to send data and the number of nodes, the feasibility of connection is determined for each possible combination of mentioned parameters. The rest of the paper is organized as follows. Section 2 presents related work. The theoretical framework and background are presented in Section 3. The description of the scenario and the proposed algorithm are presented in Section 4. The results are discussed in Section 5. Finally, the conclusion and future work are presented in Section 6.