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DRL-assisted FANET Double-Hop Information Enhanced Routing Protocol for Communication Blackout Scenarios
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Xinying GUO1, 2, 3, Ming LI1, 2, 3, Chunhua ZHU1, 2, 3
Radio Communications Technology | 2025, 51(5) : 929 - 939
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Radio Communications Technology | 2025, 51(5): 929-939
• Special Topic: 6G and IoT Technologies •
DRL-assisted FANET Double-Hop Information Enhanced Routing Protocol for Communication Blackout Scenarios
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Xinying GUO1, 2, 3, Ming LI1, 2, 3, Chunhua ZHU1, 2, 3
Affiliations
  • 1.Key Laboratory of Grain Information Processing and Control of the Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
  • 2.Key Experiment on Intelligent Perception and Decision-making of Grain Storage Information in Henan Province, Henan University of Technology, Zhengzhou 450001, China
  • 3.Henan Province Engineering Research Center for Intelligent Monitoring and Application of Grain Conditions, Henan University of Technology, Zhengzhou 450001, China
Published: 2025-09-18 doi: 10.3969/j.issn.1003-3114.2025.05.006
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To address the challenge of high end-to-end delay in Flying Ad Hoc Network (FANET) under communication blackout scenarios, this paper proposes a Deep Reinforcement Learning (DRL)-assisted Double-Hop Information Enhanced Routing Protocol (DHRP). The proposed protocol models the routing process as a Markov Decision Process (MDP) to enable effective decision-making. In constructing the state space, it incorporates both node location information and link channel capacity, while considering network information within a two-hop neighborhood. Centered on a deep value network, the protocol employs a reward function that reflects realtime network dynamics to guide the agent in selecting the optimal next-hop node. Simulation results show that, compared to existing approaches, DHRP significantly reduces the average end-to-end delay in FANET under communication blackout conditions. Furthermore, DHRP demonstrates strong adaptability and robustness across various node densities and levels of network congestion by leveraging realtime environmental awareness and an intelligent decision-making mechanism to maintain overall network performance.

FANET  /  communication blackout  /  DRL  /  double-hop information  /  routing protocol
Xinying GUO, Ming LI, Chunhua ZHU. DRL-assisted FANET Double-Hop Information Enhanced Routing Protocol for Communication Blackout Scenarios[J]. Radio Communications Technology, 2025 , 51 (5) : 929 -939 . DOI: 10.3969/j.issn.1003-3114.2025.05.006
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doi: 10.3969/j.issn.1003-3114.2025.05.006
  • Receive Date：2025-05-20
  • Online Date：2026-04-17
  • Published：2025-09-18
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  • Received：2025-05-20
Affiliations
    1.Key Laboratory of Grain Information Processing and Control of the Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
    2.Key Experiment on Intelligent Perception and Decision-making of Grain Storage Information in Henan Province, Henan University of Technology, Zhengzhou 450001, China
    3.Henan Province Engineering Research Center for Intelligent Monitoring and Application of Grain Conditions, Henan University of Technology, Zhengzhou 450001, China
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