Optimal research on UAV information transmission combined with resource allocation in natural disaster scenarios: a natural disaster rescue and relief-oriented UAV ad-hoc communication network

Yiyang Liu

doi:10.1117/12.3029336

22 May 2024 Optimal research on UAV information transmission combined with resource allocation in natural disaster scenarios: a natural disaster rescue and relief-oriented UAV ad-hoc communication network

Yiyang Liu

Author Affiliations +

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131761S (2024) https://doi.org/10.1117/12.3029336
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

With the integration and development of computer and communication technologies, intelligent communication is playing an increasingly important role in various fields. In response to the intelligent, flexible, and robust communication demands in emergency scenarios, this paper proposes a network for constructing a self-organizing communication network based on Unmanned Aerial Vehicle (UAV). In this network, the network consists of a master node UAV and a branch node UAV, forming a master-slave structure. This UAV communication network can be applied in scenarios like forest wildfires, where the master node UAV dynamically schedules the branch node UAV to achieve coverage and monitoring of ground fire scenes, providing support for forest fire prevention, control, and assessment. Simulation experiments demonstrate that the proposed network exhibits significant effects in ensuring network connectivity, coverage, and mobility efficiency.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yiyang Liu "Optimal research on UAV information transmission combined with resource allocation in natural disaster scenarios: a natural disaster rescue and relief-oriented UAV ad-hoc communication network", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131761S (22 May 2024); https://doi.org/10.1117/12.3029336

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available