Electronic Resource

DRL-Optimized Optical Communication for a Reliable UAV-Based Maritime Data Transmission

التفاصيل البيبلوغرافية
العنوان: DRL-Optimized Optical Communication for a Reliable UAV-Based Maritime Data Transmission
المؤلفون: Luo, Hanjiang, Ma, Saisai, Tao, Hang, Ruby, Rukhsana, Zhou, Jiehan, Wu, Kaishun
بيانات النشر: Ieee-inst Electrical Electronics Engineers Inc 2024
نوع الوثيقة: Electronic Resource
مستخلص: Maritime data transmission with unmanned aerial vehicles (UAVs) in maritime Internet of Things (MIoT) systems has received increasing attention due to its flexibility and low cost. To further improve the efficiency of maritime data transmission between the UAVs and the maritime buoys, optical communication is considered as a promising technique because of its low latency and high bandwidth. However, optical communication encounters the challenge of beam pointing alignment, particularly in maritime data transmission involving wave disturbance and drift of buoy, which deteriorates and even interrupts the line-of-sight (LOS) optical transmission. To tackle the challenge, this article proposes DERLOC, a reliable data transmission solution based on deep reinforcement learning (DRL). We first provide the optimization analysis of reliable data transmission and formulate the data transmission procedure as a Markov decision process (MDP) aiming at maximizing the received signal intensity. Afterwards, we propose a beam pointing adjustment algorithm based on the soft actor-critic (SAC) approach to alleviate the performance deterioration caused by waves. Then, we analyze the drift characteristic of a buoy and develop a method which enables UAV to predict the position and determine an optimal movement control strategy for ensuring the effectiveness of beam pointing and maintaining stable LOS communication. Through extensive simulations and real-time data validation, the results demonstrate that DERLOC is effective and enables a reliable data transmission via optical links.
مصطلحات الفهرس: Data communication, Autonomous aerial vehicles, Reliability, Optical fiber communication, Optical surface waves, Internet of Things, High-speed optical techniques, Deep reinforcement learning (DRL), Internet of Things (IoT), Maritime data transmission, Optical communication, Unmanned aerial vehicles (UAVs), Article
URL: http://repository.hkust.edu.hk/ir/Record/1783.1-139938
https://doi.org/10.1109/JIOT.2024.3365863
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2327-4662&rft.volume=11&rft.issue=10&rft.date=2024&rft.spage=18768&rft.aulast=Luo&rft.aufirst=Hanjiang&rft.atitle=DRL-Optimized+Optical+Communication+for+a+Reliable+UAV-Based+Maritime+Data+Transmission&rft.title=IEEE+INTERNET+OF+THINGS+JOURNAL
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001221337300131
http://www.scopus.com/record/display.url?eid=2-s2.0-85187259258&origin=inward
الاتاحة: Open access content. Open access content
ملاحظة: English
Other Numbers: HNK oai:repository.hkust.edu.hk:1783.1-139938
IEEE Internet of Things Journal, v. 11, (10), May 2024, article number 10436420, p. 18768-18781
2327-4662
1452723244
المصدر المساهم: HONG KONG UNIV OF SCI & TECH, THE
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رقم الانضمام: edsoai.on1452723244
قاعدة البيانات: OAIster