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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 9

Dual-state adaptive stochastic double Q-learning routing algorithm for UAV Ad hoc networks

Sun Chen
Wan Jiamei
Yu Suqi
Shu Jian
School of Software, Nanchang Hangkong University, Nanchang 330063, China
DOI: 10.19734/j.issn.1001-3695.2025.02.0040

Abstract

The routing algorithm design for unmanned aerial vehicle ad hoc networks (UANETs) needs to address dynamic network changes to achieve fast path selection and ensure efficient and reliable data transmission. To overcome the limitations of existing reinforcement learning-based routing algorithms in handling high-speed dynamic networks, this paper proposed a dual-state adaptive stochastic double Q-learning routing algorithm (2k-adaDQL) . The algorithm employed randomly alternating updates of double Q-functions to reduce overestimation bias in traditional Q-learning. To meet the diverse quality-of-service requirements of UANETs routing, the method combined multi-objective optimization techniques to design a composite reward function based on link reliability and delay. For highly dynamic network environments, the study innovatively introduced a dual-state adaptive parameter adjustment mechanism. This mechanism designed flexible parameter adaptation strategies according to different network states, ensuring timely responses to environmental changes and improving routing adaptability. Simulation results showed that compared to AODV, QMR, QGeo, and LN-AODV, the proposed 2k-adaDQL algorithm improved three key performance metrics: packet delivery rate, average end-to-end delay, and maximum end-to-end delay. The algorithm also demonstrated better scalability and stability, with significantly faster convergence than the baseline QMR algorithm. These results indicate that 2k-adaDQL performs optimally in UANETs environments, particularly in scenarios with sparse node distribution and high-speed variations.

Foundation Support

国家自然科学基金资助项目(62362052)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.02.0040
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 9

Publish History

[2025-05-21] Accepted Paper

Cite This Article

孙晨, 万家梅, 余苏奇, 等. 无人机自组织网络中双态自适应的随机双Q学习路由算法 [J]. 计算机应用研究, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.02.0040. (Sun Chen, Wan Jiamei, Yu Suqi, et al. Dual-state adaptive stochastic double Q-learning routing algorithm for UAV Ad hoc networks [J]. Application Research of Computers, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.02.0040. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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