A Scheme of Data Analysis by Sensors of a Swarm of Drones Performing a Search Mission Based on a Fog Architecture Using the Internet of Things

Abstract

The widespread introduction of devices related to the Internet of Things (IoT) makes it possible to significantly expand both the scope of functions of wearable devices and applications, as well as the amount of data processed by IoT applications. Currently, it is already possible to talk about the mass introduction of methods for processing big data by IoT devices. The increasing growth in the number of devices connected to the Internet causes problems of high-speed data processing in the cloud in real time with low latency, which is preferable to storing information in limited storage or using weak computing resources of small devices. Fog computing, which appeared to help cloud technologies and provide flexible resources and services to end users at the edge of the network, seemed to be a promising solution for efficient data processing. However, the growth in the number of solutions using IoT devices and related applications, such as the flight of a swarm of unmanned aerial vehicles (U A V s), has created a need for scalable, cost-effective platforms that can provide distributed data analysis, optimizing resource allocation and minimizing response time. The article presents a way to solve one of the important tasks of carrying out search missions or observing a swarm of unmanned aerial vehicles in space, based on foggy calculations.