Human Machine Teaming in Mobile Miniaturized Aviation Logistics Systems in Safety-Critical Settings

Journal of Safety and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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A cross-layer PUF-secured energy and congestion-aware on-demand routing for multi-UAV networks

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111076 - 111076

Published: Jan. 1, 2025

Language: Английский

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Maximizing the Energy Efficiency using M-PSO in Multi-Hop UAV-IRS Network for Improved Post-Disaster Emergency Communication Services

Vehicular Communications, Journal Year: 2025, Volume and Issue: unknown, P. 100920 - 100920

Published: April 1, 2025

Language: Английский

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Integrated GNSS reflectometry and UAV sensing for flood monitoring and risk mitigation

AIP conference proceedings, Journal Year: 2025, Volume and Issue: 3259, P. 060001 - 060001

Published: Jan. 1, 2025

Language: Английский

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EGBCR-FANET: Enhanced Genghis Khan Shark Optimizer based Bayesian-Driven Clustered Routing Model for FANETs

Vehicular Communications, Journal Year: 2025, Volume and Issue: unknown, P. 100935 - 100935

Published: May 1, 2025

Language: Английский

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Real‐Time Anomaly Detection in Smart Vehicle‐To‐UAV Networks for Disaster Management

Transactions on Emerging Telecommunications Technologies, Journal Year: 2025, Volume and Issue: 36(5)

Published: May 1, 2025

ABSTRACT In disaster situations, conventional vehicular communication networks often face heavy congestion, which hinders the effectiveness of Vehicle‐to‐Vehicle (V2V) communication. To overcome this issue, Vehicle‐to‐Unmanned Aerial Vehicle (V2U) is a crucial alternative, offering an expanded network infrastructure for real‐time information sharing. Nonetheless, both V2V and V2U are vulnerable to cyber‐physical disruptions caused by malicious attacks, signal interference, environmental factors. This paper introduces advanced anomaly detection framework tailored disaster‐response networks, combines discrete‐time Markov chain (DTMC) with machine learning (ML) methods. The model employs DTMC define normal transmission behavior while adaptively modifying state transition probabilities through ML techniques using data. simulations in MATLAB validate proposed method analyzing log‐likelihood maneuver patterns evaluating performance Receiver Operating Characteristic (ROC) curves. Our findings reveal that hybrid DTMC‐ML successfully detects anomalies achieving high true positive rate reducing false alarms. research aids advancing resilient systems response, thereby improving reliability security intelligent transportation extreme situations.

Language: Английский

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Comparative Reliability Analysis of Unmanned Aerial Vehicle Swarm Based on Mathematical Models of Binary-State and Multi-State Systems

Electronics, Journal Year: 2024, Volume and Issue: 13(22), P. 4509 - 4509

Published: Nov. 17, 2024

A key aspect in evaluating the performance of a UAV or its swarm is reliability. The reliability calculated based on various mathematical models. Traditionally, Binary-State System (BSS) models, which assess two states—operational and faulty—are employed. However, some studies suggest using Multi-State (MSS) model, allows for detailed analysis by considering multiple states beyond just operational faulty. Both models allow evaluation Unmanned Aerial Vehicle (UAV) swarms availability, considered as probability mission implementation. There one more similar assessment computed MSS, named probabilities level. are not any recommendations applications these assessments analyses swarms. This paper introduces comparative study availability both BSS MSS levels provides quantitative qualitative to exploit according computational complexity informativeness. shows that failure should be BSS, operation implemented probabilities’ instead availability. These results confirmed statistical examinations different types MSS. number UAVs changed from 2 20 examinations.

Language: Английский

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Decentralized multi-hop data processing in UAV networks using MARL

Vehicular Communications, Journal Year: 2024, Volume and Issue: 50, P. 100858 - 100858

Published: Nov. 15, 2024

Language: Английский

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Research on Optimization of UAV Communication Network Security Protection Strategy Based on Advanced Encryption Technology

Journal of Cyber Security and Mobility, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 23, 2024

With the wide application of UAVs in various applications, security, spectrum, and energy efficiency their communication networks have become increasingly prominent. This paper proposes a joint optimization strategy based on deep reinforcement learning for drone swarm networks. First, model is constructed that takes into account security threats, spectrum sharing, consumption. Intelligent agents are then trained through to dynamically select best allocation improve while maintaining network security. Based encryption technology, this studies resource strategies UAV different scenarios. Aiming at incomplete certainty multiple eavesdropping positions problem no-fly zone during flight, algorithm proposed optimize trajectory, interference power, transmission power ground base stations so as maximize minimum average capacity system worst case. To solve LoS link being quickly blocked city secondary users easily causing excessive primary users, intelligent reflectors introduced assist secure communication. IRS can be used reconfigure channel parameters control propagation direction links, enhance quality link, weaken links links. Simulation results show scheme improves crowded scenarios, inhibits effect eavesdroppers reduces multiplexing thus significantly enhancing system. When increased, value growth rate increased. The increase 20%. Through large number simulation experiments, it has been proved method excellent performance improving utilization, obvious advantages over traditional baseline DQN-wrap method.

Language: Английский

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Network Partitioning Problem and UAVs' Integration for Efficient Connectivity Restoration: A Systematic Review

International Journal of Communication Systems, Journal Year: 2024, Volume and Issue: 38(3)

Published: Dec. 30, 2024

ABSTRACT Wireless sensor and actor networks (WSANs) are gaining substantial recognition because of their utility in inhospitable environments where humans have restricted accessibility. The extensive applications WSANs different domains require effectiveness, reliability, some degree robustness. These may experience frequent node failures due to deployment rough environments, such as energy depletion onboard electronics failure network nodes. result areas with no coverage, which further deteriorate the standard data accumulated. However, partitioning into disjoint fragments is most severe repercussion that arises these failures. results various negative impacts like obstruction exchange coordination among Therefore, detecting restoring connectivity important. This paper reviews reported partition detection recovery techniques. limitations techniques highlighted, along advantages incorporating unmanned aerial vehicles (UAVs) ground wireless networks. UAVs evolving become a critical element future technologies. incorporates analysis UAV‐assisted consisting technical issues, challenges, requirements related UAVs' employment Thereafter, discussed application scenarios for problem. also highlights challenges associating process.

Language: Английский

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