Decision-Making for Placing Unmanned Aerial Vehicles to Implementation of Analyzing Cloud Computing Cooperation Applied to Information Processing

Abstract

The article considers an important task when performing the search missions or surveillance-placing unmanned aerial vehicles in space to cover the territory of a given area or maximum. The study describes the possibility of solving this problem by means of heuristic optimization methods, based on the adaptive behavior of biological systems. It is proposed using a bioinspired algorithm based on the behavior of a pack of wolves in nature and allowing several unmanned aerial vehicles to display the properties of the swarm for high-quality and timely execution of the task in the course of search operations. The problem of distribution of unmanned aerial vehicles using fog calculations for joint search mission execution by several drones is presented. A model of behavior of wolves in the wild and its adaptation to solve the problem of aircraft placement is described. The role of fog-cloud computing in the process of solving the problem of placing drones is shown and the conclusion is made about the applicability of the approach proposed in the article, which combines the problems of placing aircraft over the observed surface and using fog-cloud computing.