Computation

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Dear Colleagues,

We are pleased to announce this Special Issue, which is dedicated to publishing a curated selection of papers from the International Conference on Integrated Computer Technologies in Mechanical Engineering (ICTM 2024: ictm.khai.edu), held on December 23–24, 2024, in Kharkiv, Ukraine. In addition to contributions from the conference, high-quality submissions addressing related topics are warmly invited, even if they were not presented at the event.

This Special Issue aims to highlight cutting-edge advancements in computer-aided technologies and their transformative applications across mechanical engineering and interdisciplinary fields. Submissions should emphasize innovative methodologies, practical implementations, and theoretical breakthroughs.

Topics of the Special Issue include, but are not limited to, the following:

Information technology in the design and manufacturing of engines;
Information technology in the creation of rocket space systems;
Aerospace engineering;
Control systems and engineering;
Transport systems and logistics;
Big data and data science;
Nano-modeling;
Artificial intelligence and smart systems;
Networks and communication;
Cyber–physical systems and IoE;
Software engineering and IT infrastructure;
Information modeling;
Project management and business informatics;
Hyperreality;
Robotics and UAVs;
Smart energy and grids;
Cyber security and safety;
Signal and image processing;
Remote sensing radars.

Prof. Dr. Oleksii Lytvynov
Dr. Volodymyr Pavlikov
Dr. Dmytro Krytskyi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Published Papers (1 paper)

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Research

17 pages, 550 KiB

Open AccessArticle

Modeling Strategies for Conducting Wave Surveillance Using a Swarm of Security Drones

by Oleg Fedorovich, Mikhail Lukhanin, Dmytro Krytskyi and Oleksandr Prokhorov

Computation 2025, 13(8), 193; https://doi.org/10.3390/computation13080193 - 8 Aug 2025

Viewed by 194

Abstract

This work formulates and solves the actual problem of studying the logistics of unmanned aerial vehicle (UAV) operations in facility security planning. The study is related to security tasks, including perimeter control, infrastructure condition monitoring, prevention of unauthorized access, and analysis of potential threats. Thus, the topic of the proposed publication is relevant as it examines the sequence of logistical actions in the large-scale application of a swarm of drones for facility protection. The purpose of the research is to create a set of mathematical and simulation models that can be used to analyze the capabilities of a drone swarm when organizing security measures. The article analyzes modern problems of using a drone swarm: formation of the swarm, assessment of its potential capabilities, organization of patrols, development of monitoring scenarios, planning of drone routes and assessment of the effectiveness of the security system. Special attention is paid to the possibilities of wave patrols to provide continuous surveillance of the object. In order to form a drone swarm and possibly divide it into groups sent to different surveillance zones, the necessary UAV capacity to effectively perform security tasks is assessed. Possible security scenarios using drone waves are developed as follows: single patrolling with limited resources; two-wave patrolling; and multi-stage patrolling for complete coverage of the protected area with the required number of UAVs. To select priority monitoring areas, the functional potential of drones and current risks are taken into account. An optimization model of rational distribution of drones into groups to ensure effective control of the protected area is created. Possible variants of drone group formation are analyzed as follows: allocation of one priority surveillance zone, formation of a set of key zones, or even distribution of swarm resources along the entire perimeter. Possible scenarios for dividing the drone swarm in flight are developed as follows: dividing the swarm into groups at the launch stage, dividing the swarm at a given navigation point on the route, and repeatedly dividing the swarm at different patrol points. An original algorithm for the formation of drone flight routes for object surveillance based on the simulation modeling of the movement of virtual objects simulating drones has been developed. An agent-based model on the AnyLogic platform was created to study the logistics of security operations. The scientific novelty of the study is related to the actual task of forming possible strategies for using a swarm of drones to provide integrated security of objects, which contributes to improving the efficiency of security and monitoring systems. The results of the study can be used by specialists in security, logistics, infrastructure monitoring and other areas related to the use of drone swarms for effective control and protection of facilities. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering—Synergetic Engineering IV)

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