Enhancing Drone Control Efficiency Through Advanced Internet-Based Communication Techniques

This study introduces a novel method to improve drone motion and posture control using advanced internet-based communication techniques. Operators can easily send precise flight paths to drones through a ground control station over the Internet, enabling efficient task execution in specific operational zones. Unlike conventional approaches relying on cloud servers for data transmission, this solution aims to reduce drone command delays, enhancing responsiveness compared to traditional ground station commands. By establishing a direct communication link between the ground control station and the drone, the proposed method minimizes the round-trip time typically associated with server-based systems, effectively reducing latency. Through thorough practical tests involving a Quadrotor, Raspberry Pi computer, and a 4G SIM module, the study confirms the effectiveness of this method in minimizing command delays and enhancing overall drone control performance. These results highlight the potential of this cutting-edge communication framework to transform UAV operations, leading to more effective and dependable remote monitoring and control.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/sist61657.2025.11139315
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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article

Enhancing Drone Control Efficiency Through Advanced Internet-Based Communication Techniques

Dinh Dung Nguyen, Kinzhikeyev Sergey, Kinzhikeeva Dina, Q. Khai Phung et al.
UAV Applications and Optimization
article

Enhancing Drone Control Efficiency Through Advanced Internet-Based Communication Techniques

Dinh Dung Nguyen, Kinzhikeyev Sergey, Kinzhikeeva Dina, Q. Khai Phung, Zhakiev Nurkhat
article en

Abstract

This study introduces a novel method to improve drone motion and posture control using advanced internet-based communication techniques. Operators can easily send precise flight paths to drones through a ground control station over the Internet, enabling efficient task execution in specific operational zones. Unlike conventional approaches relying on cloud servers for data transmission, this solution aims to reduce drone command delays, enhancing responsiveness compared to traditional ground station commands. By establishing a direct communication link between the ground control station and the drone, the proposed method minimizes the round-trip time typically associated with server-based systems, effectively reducing latency. Through thorough practical tests involving a Quadrotor, Raspberry Pi computer, and a 4G SIM module, the study confirms the effectiveness of this method in minimizing command delays and enhancing overall drone control performance. These results highlight the potential of this cutting-edge communication framework to transform UAV operations, leading to more effective and dependable remote monitoring and control.

Le Quy Don Technical University (VN), Astana Medical University (KZ), United States Air Force Academy (US)
Openalex Percentile: Top 68%
UAV Applications and Optimization
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