## 1 Introduction  
In recent years, Unmanned Aerial Vehicles (UAVs, also referred to as drones or Remotely Piloted Aircrafts, depending on their work procedures) have improved their capabilities and performance, while at the same time becoming more economical and easier to use. It has been proven that UAVs can provide a high degree of usefulness in application domains like agriculture [1], nature monitoring [2], infrastructure maintenance [3] and, generally speaking, secure information transfer among remote locations and devices [4] and Internet of Things environments where data collection and inference of knowledge are of major importance [5]. Indeed, UAVs have a collection of features that make them useful for environments where obtaining information from a wide area in a fast and responsive manner is of major importance: (a) they have a high degree of mobility (and therefore, they can perform manoeuvres and travel to areas where other bigger devices or humans might not be able to go, due to distance, positioning or how hazardous the environment is [6]); (b) they tend to be inexpensive to acquire and use (and can be employed without requiring large amounts of economic resources); (c) they are portable (therefore, they can be taken from/to different places without high requirements in space or storage room); (d) they can provide large amounts of data in a comparatively small amount of time (so they come in handy for any application that involves data, even in a big-data-like fashion [7]); (e) they can be used both in a piloted and autonomous manner (so they can be left to perform tedious tasks without the constant need of supervision). Despite the diversification in the usage of UAVs and the advantages that come with them, there are some application domains where UAVs have yet to become as popular as other hardware devices. For example, Renewable Energy Sources (RESs) can benefit from their monitoring features to detect solar panels with defective or underperforming cells [8] or to track and control cattle in sparsely populated areas [9], but, unfortunately, many application domains, for now, do not UAVs to the extent where it becomes clear how significant the benefits they can provide are.  
One of these areas with great impact on society is mobile networking. As it is widely known, the usage of smartphones and mobile phones has dramatically increased during the last two decades, and therefore, the need to have a mobile network that these terminals can rely on as a trustworthy and that have fully functional deployment is often taken for granted. This necessity, and how it is satisfied by mobile network operators, has become a major business in Information and Communication Technologies (ICT). However, such an important system implies that it must have very high standards in terms of performance. Usually, mobile networks are expected to offer access to the web and provide connectivity to smart phones in a fast and trustworthy way, so that it can offer a satisfactory user experience in terms of web access and communication. Guaranteeing such output, however, demands a great number of resources to be put into the system for several tests aimed at attaining knowledge regarding network performance parameters. Among the latter, the monitoring and reconnaissance of the status and capabilities of such networks in a particular space is one of critical importance, as it will define how usable the mobile network is and what services it can provide.