A Simulation Framework Base on Aerial-Terrestrial Self-Organizing Network

This paper presents an innovative Aerial-terrestrial self-organized network simulation framework, which aims to build an environment monitoring system that is both efficient and intelligent through the close collaboration between unmanned aerial vehicle (UA V) and wireless sensor networks. The framework integrates several core functional modules, including simulation member definition, simulation setup, simulation execution and monitoring, as well as result presentation and data analysis. With the highly customized UAV model, sensor model and communication model, the framework is able to accurately simulate the actual operating environment with flexible parameter configurability and dynamic event simulation. Experimental validation shows that the proposed simulation framework demonstrates significant effectiveness and accuracy in verifying the path optimization algorithm, providing a practical path planning solution for UA V data collection tasks.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cscwd64889.2025.11033329
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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article

A Simulation Framework Base on Aerial-Terrestrial Self-Organizing Network

Hao Jiang, Hongbo Sun
Distributed Control Multi-Agent Systems
article

A Simulation Framework Base on Aerial-Terrestrial Self-Organizing Network

Hao Jiang, Hongbo Sun
article en

Abstract

This paper presents an innovative Aerial-terrestrial self-organized network simulation framework, which aims to build an environment monitoring system that is both efficient and intelligent through the close collaboration between unmanned aerial vehicle (UA V) and wireless sensor networks. The framework integrates several core functional modules, including simulation member definition, simulation setup, simulation execution and monitoring, as well as result presentation and data analysis. With the highly customized UAV model, sensor model and communication model, the framework is able to accurately simulate the actual operating environment with flexible parameter configurability and dynamic event simulation. Experimental validation shows that the proposed simulation framework demonstrates significant effectiveness and accuracy in verifying the path optimization algorithm, providing a practical path planning solution for UA V data collection tasks.

Yantai University (CN)
Climate action
Openalex Percentile: Top 85%
Distributed Control Multi-Agent Systems
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