UAV-Assisted Underwater Sensor Networks Using RF and Optical Wireless Links

被引:29
|
作者
Agheli, Pouya [1 ]
Beyranvand, Hamzeh [1 ]
Emadi, Mohammad Javad [1 ]
机构
[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran Polytech, Tehran 1591634311, Iran
关键词
Relays; Uplink; Downlink; Radio frequency; Unmanned aerial vehicles; Optical sensors; Adaptive optics; Underwater sensor network; autonomous underwater vehicle; unmanned aerial vehicle; underwater optical communication; free-space optic; retro-reflection; tracking procedure; outage probability; and average bit error rate; PERFORMANCE ANALYSIS; TURBULENCE CHANNELS; FSO SYSTEMS; COMMUNICATION; SELECTION; CAPACITY; DESIGN;
D O I
10.1109/JLT.2021.3114163
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Underwater sensor networks (UWSNs) are of interest to gather data from underwater sensor nodes (SNs) and deliver information to a terrestrial access point (AP) in the uplink transmission, and transfer data from the AP to the SNs in the downlink transmission. In this paper, we investigate a triple-hop UWSN in which autonomous underwater vehicle (AUV) and unmanned aerial vehicle (UAV) relays enable end-to-end communications between the SNs and the AP. It is assumed that the SN-AUV, AUV-UAV, and UAV-AP links are deployed by underwater optical communication (UWOC), free-space optic (FSO), and radio frequency (RF) technologies, respectively. Two scenarios are proposed for the FSO uplink and downlink transmissions between the AUV and the UAV, subject to water-to-air and air-to-water interface impacts; direct transmission scenario (DTS) and retro-reflection scenario (RRS). After providing the channel models and their statistics, the UWSN's outage probability and average bit error rate (BER) are computed. Besides, a tracking procedure is proposed to set up reliable and stable AUV- UAV FSO communications. Through numerical results, it is concluded that the RSS scheme outperforms the DTS one with about 200% (32%) and 80% (17%) better outage probability (average BER) in the uplink and downlink, respectively. It is also shown that the tracking procedure provides on average 480% and 170% improvements in the network's outage probability and average BER, respectively, compared to poorly aligned FSO conditions. The results are verified by applying Monte-Carlo simulations.
引用
收藏
页码:7070 / 7082
页数:13
相关论文
共 50 条
  • [41] UAV-assisted RF Energy Transfer
    Suman, Suraj
    Kumar, Sidharth
    De, Swades
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [42] UAV-assisted Data Collection in Wireless Powered Sensor Networks over Multiple Fading Channels
    Perera, Tharindu D. Ponnimbaduge
    Panic, Stephan
    Jayakody, Dushantha Nalin K.
    Muthuchidambaranathan, P.
    IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2020, : 647 - 652
  • [43] Integrated Clustering and Routing Design and Triangle Path Optimization for UAV-Assisted Wireless Sensor Networks
    Shao Liwei
    Qian Liping
    Wu Mengru
    Wu Yuan
    China Communications, 2024, 21 (04) : 178 - 192
  • [44] Power Control and Trajectory Planning Based Interference Management for UAV-Assisted Wireless Sensor Networks
    Zhang, Shuo
    Shi, Shuo
    Gu, Shushi
    Gu, Xuemai
    IEEE ACCESS, 2020, 8 : 3453 - 3464
  • [45] Integrated clustering and routing design and triangle path optimization for UAV-assisted wireless sensor networks
    Shao, Liwei
    Qian, Liping
    Wu, Mengru
    Wu, Yuan
    CHINA COMMUNICATIONS, 2024, 21 (04) : 178 - 192
  • [46] Autonomic Faulty Node Replacement in UAV-Assisted Wireless Sensor Networks: a Test-bed
    Montecchiari, Leonardo
    Trotta, Angelo
    Bononi, Luciano
    Di Felice, Marco
    Natalizio, Enrico
    2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC, 2023,
  • [47] On the Downlink SINR Meta Distribution of UAV-Assisted Wireless Networks
    Qin, Yujie
    Kishk, Mustafa A.
    Alouini, Mohamed-Slim
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 71 (11) : 6762 - 6778
  • [48] Probabilistic caching placement in UAV-assisted heterogeneous wireless networks
    Lin, Xiaosheng
    Xia, Junjuan
    Wang, Zhi
    PHYSICAL COMMUNICATION, 2019, 33 : 54 - 61
  • [49] Resource management in UAV-assisted wireless networks: An optimization perspective
    Masroor, Rooha
    Naeem, Muhammad
    Ejaz, Waleed
    AD HOC NETWORKS, 2021, 121
  • [50] On the Optimization of UAV-Assisted Wireless Networks for Hierarchical Federated Learning
    Khelf, Roumaissa
    Driouch, Elmahdi
    Ajib, Wessam
    2023 IEEE 34TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, PIMRC, 2023,