Optimization of Communication Quality for Energy-Limited Inspection AAV: A Hybrid Algorithm

In this paper, we study a autonomous aerial vehicle (AAV) inspection system. In this system, the AAV flies to all inspection points in a certain area for patrol inspection, and the energy of inspection AAV is limited. Our goal is to optimize the communication quality of the AAV by planning the inspe...

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Published inIEEE open journal of the Communications Society Vol. 5; pp. 7900 - 7912
Main Authors Wang, Wei, Cao, Jiangling, Yang, Dingcheng, He, Hao, Xu, Zhihai
Format Journal Article
LanguageEnglish
Published New York IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
AAV inspection system
Algorithms
Autonomous aerial vehicles
Batteries
Communication
Dueling double deep Q network (D3QN)
Effectiveness
Energy
Energy consumption
Energy limitation
energy-limited inspection AAV
Flight
Inspection
Optimization
Planning
Rotors
Simulated annealing
simulated annealing (SA)
Trajectory
Trajectory optimization
Trajectory planning
Unmanned aerial vehicles
Vectors
Wireless communication
Online AccessGet full text
ISSN2644-125X
2644-125X
DOI10.1109/OJCOMS.2024.3507818

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Abstract In this paper, we study a autonomous aerial vehicle (AAV) inspection system. In this system, the AAV flies to all inspection points in a certain area for patrol inspection, and the energy of inspection AAV is limited. Our goal is to optimize the communication quality of the AAV by planning the inspection sequence and flight trajectory, so as to ensure that the AAV can complete the inspection task and minimize the outage time subject to limited energy of the AAV. To solve this problem, we propose a hybrid algorithm, which consists of simulated annealing (SA) algorithm and Dueling Double Deep Q Network (D3QN) algorithm. The SA algorithm is used to obtain the inspection sequence of the AAV with the most energy saving. On this basis, the D3QN algorithm is used to optimize the flight trajectory of the energy-limited inspection AAV. To prove the effectiveness of the sub-optimal solution obtained by our proposed algorithm, we use several algorithms as a comparison. Numerical results show that the proposed algorithm is effective in optimizing the communication quality of the inspection AAV with limited energy, and its performance is improved by about 15%-50% compared with other benchmarks.
AbstractList In this paper, we study a autonomous aerial vehicle (AAV) inspection system. In this system, the AAV flies to all inspection points in a certain area for patrol inspection, and the energy of inspection AAV is limited. Our goal is to optimize the communication quality of the AAV by planning the inspection sequence and flight trajectory, so as to ensure that the AAV can complete the inspection task and minimize the outage time subject to limited energy of the AAV. To solve this problem, we propose a hybrid algorithm, which consists of simulated annealing (SA) algorithm and Dueling Double Deep Q Network (D3QN) algorithm. The SA algorithm is used to obtain the inspection sequence of the AAV with the most energy saving. On this basis, the D3QN algorithm is used to optimize the flight trajectory of the energy-limited inspection AAV. To prove the effectiveness of the sub-optimal solution obtained by our proposed algorithm, we use several algorithms as a comparison. Numerical results show that the proposed algorithm is effective in optimizing the communication quality of the inspection AAV with limited energy, and its performance is improved by about 15%-50% compared with other benchmarks.
Author He, Hao
Xu, Zhihai
Cao, Jiangling
Wang, Wei
Yang, Dingcheng
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SubjectTerms AAV inspection system
Algorithms
Autonomous aerial vehicles
Batteries
Communication
Dueling double deep Q network (D3QN)
Effectiveness
Energy
Energy consumption
Energy limitation
energy-limited inspection AAV
Flight
Inspection
Optimization
Planning
Rotors
Simulated annealing
simulated annealing (SA)
Trajectory
Trajectory optimization
Trajectory planning
Unmanned aerial vehicles
Vectors
Wireless communication
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Title Optimization of Communication Quality for Energy-Limited Inspection AAV: A Hybrid Algorithm
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