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A Simulation Study of a Self-organizing "spider Web" UAV Defense Detection Network Based on Ant Colony Optimization. / Malafeyev, O.; Zaitseva, I.; Zhang, K.; Ostapenko, E.; Skvortsova, O.; Kolesov, D.

2025. 434-439 Paper presented at 7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), Lipetsk, Russian Federation.

Research output: Contribution to conference › Paper › peer-review

Harvard

Malafeyev, O, Zaitseva, I, Zhang, K, Ostapenko, E, Skvortsova, O & Kolesov, D 2025, 'A Simulation Study of a Self-organizing "spider Web" UAV Defense Detection Network Based on Ant Colony Optimization', Paper presented at 7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), Lipetsk, Russian Federation, 12/11/25 - 14/11/25 pp. 434-439. https://doi.org/10.1109/SUMMA68668.2025.11302237

APA

Malafeyev, O., Zaitseva, I., Zhang, K., Ostapenko, E., Skvortsova, O., & Kolesov, D. (2025). A Simulation Study of a Self-organizing "spider Web" UAV Defense Detection Network Based on Ant Colony Optimization. 434-439. Paper presented at 7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), Lipetsk, Russian Federation. https://doi.org/10.1109/SUMMA68668.2025.11302237

Vancouver

Malafeyev O, Zaitseva I, Zhang K, Ostapenko E, Skvortsova O, Kolesov D. A Simulation Study of a Self-organizing "spider Web" UAV Defense Detection Network Based on Ant Colony Optimization. 2025. Paper presented at 7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), Lipetsk, Russian Federation. https://doi.org/10.1109/SUMMA68668.2025.11302237

Author

Malafeyev, O. ; Zaitseva, I. ; Zhang, K. ; Ostapenko, E. ; Skvortsova, O. ; Kolesov, D. / A Simulation Study of a Self-organizing "spider Web" UAV Defense Detection Network Based on Ant Colony Optimization. Paper presented at 7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), Lipetsk, Russian Federation.6 p.

BibTeX

@conference{335e8d4e25ec40069e0c8323085cee98,
title = "A Simulation Study of a Self-organizing {"}spider Web{"} UAV Defense Detection Network Based on Ant Colony Optimization",
abstract = "The rapid development of Unmanned Aerial Vehicle (UAV) swarms poses a significant challenge to traditional defense systems. This paper proposes and simulates a novel {"}Spider Web{"}UAV defense self-organizing detection network system. Its core idea is to utilize Ant Colony Optimization (ACO) algorithms to guide a defensive UAV swarm for efficient self-organized patrol and detection. The system constructs a multi-layered defense area centered on a protected target, including a core defense zone and a dynamically scalable warning zone. Defensive UAVs autonomously fill {"}gaps{"}in the detection network by sensing and responding to changes in virtual {"}pheromones,{"}enabling rapid response to intruding threats [1]-[15]. {\textcopyright} 2025 IEEE.",
keywords = "Ant Colony Optimization, Dynamic Detection, Path Planning, Self-Organizing Network, Simulation, Spider Web Mode, UAV Swarm Defense, Aircraft detection, Antennas, Learning systems, Motion planning, Network security, Swarm intelligence, Unmanned aerial vehicles (UAV), Aerial vehicle, Ant colonies, Colony optimization, Dynamic detection, Self-organising, Self-organizing network, Spider web, Spider web mode, Unmanned aerial vehicle swarm defense, Web mode, Ant colony optimization",
author = "O. Malafeyev and I. Zaitseva and K. Zhang and E. Ostapenko and O. Skvortsova and D. Kolesov",
note = "Export Date: 23 March 2026; Cited By: 0; Correspondence Address: O. Malafeyev; Saint-Petersburg State University, Department of Modelling in Social and Economical Systems, St. Petersburg, Russian Federation; email: o.malafeev@spbu.ru; Conference name: 7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2025; Conference date: 12 November 2025 through 14 November 2025; Conference code: 218610; null ; Conference date: 12-11-2025 Through 14-11-2025",
year = "2025",
doi = "10.1109/SUMMA68668.2025.11302237",
language = "Английский",
pages = "434--439",

}

RIS

TY - CONF

T1 - A Simulation Study of a Self-organizing "spider Web" UAV Defense Detection Network Based on Ant Colony Optimization

AU - Malafeyev, O.

AU - Zaitseva, I.

AU - Zhang, K.

AU - Ostapenko, E.

AU - Skvortsova, O.

AU - Kolesov, D.

N1 - Export Date: 23 March 2026; Cited By: 0; Correspondence Address: O. Malafeyev; Saint-Petersburg State University, Department of Modelling in Social and Economical Systems, St. Petersburg, Russian Federation; email: o.malafeev@spbu.ru; Conference name: 7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2025; Conference date: 12 November 2025 through 14 November 2025; Conference code: 218610

PY - 2025

Y1 - 2025

N2 - The rapid development of Unmanned Aerial Vehicle (UAV) swarms poses a significant challenge to traditional defense systems. This paper proposes and simulates a novel "Spider Web"UAV defense self-organizing detection network system. Its core idea is to utilize Ant Colony Optimization (ACO) algorithms to guide a defensive UAV swarm for efficient self-organized patrol and detection. The system constructs a multi-layered defense area centered on a protected target, including a core defense zone and a dynamically scalable warning zone. Defensive UAVs autonomously fill "gaps"in the detection network by sensing and responding to changes in virtual "pheromones,"enabling rapid response to intruding threats [1]-[15]. © 2025 IEEE.

AB - The rapid development of Unmanned Aerial Vehicle (UAV) swarms poses a significant challenge to traditional defense systems. This paper proposes and simulates a novel "Spider Web"UAV defense self-organizing detection network system. Its core idea is to utilize Ant Colony Optimization (ACO) algorithms to guide a defensive UAV swarm for efficient self-organized patrol and detection. The system constructs a multi-layered defense area centered on a protected target, including a core defense zone and a dynamically scalable warning zone. Defensive UAVs autonomously fill "gaps"in the detection network by sensing and responding to changes in virtual "pheromones,"enabling rapid response to intruding threats [1]-[15]. © 2025 IEEE.

KW - Ant Colony Optimization

KW - Dynamic Detection

KW - Path Planning

KW - Self-Organizing Network

KW - Simulation

KW - Spider Web Mode

KW - UAV Swarm Defense

KW - Aircraft detection

KW - Antennas

KW - Learning systems

KW - Motion planning

KW - Network security

KW - Swarm intelligence

KW - Unmanned aerial vehicles (UAV)

KW - Aerial vehicle

KW - Ant colonies

KW - Colony optimization

KW - Dynamic detection

KW - Self-organising

KW - Self-organizing network

KW - Spider web

KW - Spider web mode

KW - Unmanned aerial vehicle swarm defense

KW - Web mode

KW - Ant colony optimization

U2 - 10.1109/SUMMA68668.2025.11302237

DO - 10.1109/SUMMA68668.2025.11302237

M3 - материалы

SP - 434

EP - 439

Y2 - 12 November 2025 through 14 November 2025

ER -

ID: 150944276