Performance analysis of energy-efficient secured layered architecture with topology control for UAV-based IoT networks

Purpose The advantage of unmanned aerial vehicles (UAVs) is that they transmit data at a rapid speed, secure architecture and safe data transmission through internet of things (IoT). The simulated results were used to compare the performance of the proposed model with those of existing algorithms. Design/methodology/approach This work focuses on addressing these security issues by proposing an energy-efficient secured layered architecture with topology control (EESL-TC) technique to provide efficient communication. The proposed model identifies malicious attacks during data transmission and performs the necessary actions to mitigate them, ensuring secure data transmission between ground stations (GS) and UAV users. Findings The proposed model identifies malicious attacks during data transmission and performs the necessary actions to mitigate them, ensuring secure data transmission between GS and UAV users. Additionally, a cross-layered architecture is used to reduce the energy consumption and clustering mechanism to manage mobility. The advantage of UAVs is that they transmit data at a rapid speed, secure architecture and safe data transmission through IoT. Originality/value The EESL-TC provides a high throughput, high delivery rate and reduced delay. The proposed secured layered architecture effectively mitigates wormhole and grayhole attacks, ensuring secure communication and improving network performance in UAV-based IoT networks.

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Publication Details

Journal
International Journal of Intelligent Unmanned Systems
Published
2026-09-10
DOI
https://doi.org/10.1108/ijius-04-2025-0101
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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Performance analysis of energy-efficient secured layered architecture with topology control for UAV-based IoT networks

Dharamendra Chouhan, A. Rajashekar
International Journal of Intelligent Unmanned Systems
UAV Applications and Optimization
article

Performance analysis of energy-efficient secured layered architecture with topology control for UAV-based IoT networks

Dharamendra Chouhan, A. Rajashekar
article en

Abstract

Purpose The advantage of unmanned aerial vehicles (UAVs) is that they transmit data at a rapid speed, secure architecture and safe data transmission through internet of things (IoT). The simulated results were used to compare the performance of the proposed model with those of existing algorithms. Design/methodology/approach This work focuses on addressing these security issues by proposing an energy-efficient secured layered architecture with topology control (EESL-TC) technique to provide efficient communication. The proposed model identifies malicious attacks during data transmission and performs the necessary actions to mitigate them, ensuring secure data transmission between ground stations (GS) and UAV users. Findings The proposed model identifies malicious attacks during data transmission and performs the necessary actions to mitigate them, ensuring secure data transmission between GS and UAV users. Additionally, a cross-layered architecture is used to reduce the energy consumption and clustering mechanism to manage mobility. The advantage of UAVs is that they transmit data at a rapid speed, secure architecture and safe data transmission through IoT. Originality/value The EESL-TC provides a high throughput, high delivery rate and reduced delay. The proposed secured layered architecture effectively mitigates wormhole and grayhole attacks, ensuring secure communication and improving network performance in UAV-based IoT networks.

International Journal of Intelligent Unmanned Systems
Visvesvaraya Technological University (IN)
Affordable and clean energy
Openalex Percentile: Top 7%
UAV Applications and Optimization
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Performance analysis of energy-efficient secured layered architecture with topology control for UAV-based IoT networks — Dharamendra Chouhan, A. Rajashekar · International Journal of Intelligent Unmanned Systems (2026) | TGRS Research Map | TGRS