Problems of search and pursuit of unmanned aerial vehicles using the game-theoretic approach

TL;DR

This paper applies game theory to model and analyze the strategic interactions in UAV search and pursuit scenarios, aiming to enhance detection and capture strategies for security purposes.

Contribution

It introduces a novel game-theoretic framework for UAV search and pursuit, translating submarine pursuit models to UAV security applications.

Findings

Game-theoretic models identify optimal pursuit strategies.

Enhanced UAV detection effectiveness through strategic analysis.

Insights into strategic interactions improve security responses.

Abstract

Unmanned aerial vehicles (UAVs) have become increasingly prevalent in various domains, ranging from military operations to civilian applications. However, the proliferation of UAVs has also given rise to concerns regarding their potential misuse and security threats. As a result, the search and pursuit of UAVs have become crucial tasks for law enforcement agencies and security organizations. In this paper, we use a game theoretic approach to explore the problem of searching for and pursuing submarines and translate the problem into a UAV search and pursuit problem. Game theory provides a mathematical framework for modeling and analyzing strategic interactions among multiple decision makers. By applying game theoretic principles to the search and pursuit problem, we aim to improve the effectiveness of UAV detection and capture strategies. We begin by formulating the problem as a game, where the UAV represents the evader, and the search and pursuit team represents the pursuers. Each player's objective is to optimize their own utility while considering the actions and strategies of the other players. By leveraging game theory, we can gain insights into the optimal decision-making strategies for both the UAV and the pursuers, leading to improved search and pursuit outcomes and enhanced security in the face of UAV threats.