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

IF 6.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Open Journal of the Communications Society Pub Date : 2024-11-28 DOI:10.1109/OJCOMS.2024.3507818

Wei Wang;Jiangling Cao;Dingcheng Yang;Hao He;Zhihai Xu

{"title":"Optimization of Communication Quality for Energy-Limited Inspection AAV: A Hybrid Algorithm","authors":"Wei Wang;Jiangling Cao;Dingcheng Yang;Hao He;Zhihai Xu","doi":"10.1109/OJCOMS.2024.3507818","DOIUrl":null,"url":null,"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.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"7900-7912"},"PeriodicalIF":6.3000,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10770238","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Communications Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10770238/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

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.

查看原文本刊更多论文

限能检测AAV通信质量优化：一种混合算法

本文研究了一种自主飞行器（AAV）检测系统。在该系统中，AAV会飞到一定区域内的所有检查点进行巡逻检查，并且检查AAV的能量是有限的。我们的目标是通过规划AAV的检查顺序和飞行轨迹来优化AAV的通信质量，在AAV能量有限的情况下，确保AAV能够完成检查任务并最大限度地减少停机时间。为了解决这一问题，我们提出了一种混合算法，该算法由模拟退火（SA）算法和Dueling Double Deep Q Network （D3QN）算法组成。采用SA算法得到最节能的AAV检测序列。在此基础上，采用D3QN算法对能量受限型无人侦察机的飞行轨迹进行优化。为了证明本文算法得到的次优解的有效性，我们用几种算法进行了比较。数值结果表明，该算法在有限能量条件下能有效地优化检测AAV的通信质量，性能比其他基准测试提高15% ~ 50%左右。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Open Journal of the Communications Society Multiple-

CiteScore

13.70

自引率

3.80%

发文量

审稿时长

10 weeks

期刊介绍： The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023. The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include: Systems and network architecture, control and management Protocols, software, and middleware Quality of service, reliability, and security Modulation, detection, coding, and signaling Switching and routing Mobile and portable communications Terminals and other end-user devices Networks for content distribution and distributed computing Communications-based distributed resources control.