FER-Restricted AUV-Relaying Data Collection in Underwater Acoustic Sensor Networks

被引:3
|
作者
Cheng, Mingyue [1 ,2 ,3 ]
Guan, Quansheng [1 ,2 ,3 ]
Wang, Qianqian [4 ]
Ji, Fei [1 ,2 ]
Quek, Tony Q. S. [5 ]
机构
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Peoples R China
[2] Guangdong Prov Key Lab Short Range Wireless Detect, Guangzhou 510640, Peoples R China
[3] Minist Nat Resources, Key Lab Marine Environm Survey Technol & Applicat, Guangzhou 510300, Peoples R China
[4] Northwest Normal Univ, Coll Comp Sci & Engn, Lanzhou 730070, Gansu, Peoples R China
[5] Singapore Univ Technol & Design, Informat Syst Technol & Design, Singapore 487372, Singapore
基金
中国国家自然科学基金;
关键词
Autonomous underwater vehicle; data collection; frame error rate; mobile relay; underwater acoustic sensor networks; ROUTING PROTOCOL; PLACEMENT; ALGORITHM; SELECTION; DISTANCE; INTERNET;
D O I
10.1109/TWC.2023.3268720
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
Relaying is an effective method to achieve reliable and timely data collection, which is one of the most important parts of underwater acoustic sensor networks (UASNs). Considering that the relay position determines the reliability of relay communication, we study the problem of relay placement and place an autonomous underwater vehicle (AUV) to mobile relay data transmission and realize the reliable, low-latency, and low-energy data collection in UASNs. First, we formulate the relay positions that can meet a certain frame error rate (FER) requirement as the FER-restricted area (FRA), and approximate FRA with a three-dimensional geometry formula. The problem of reliable and timely data collection becomes planning a short AUV relaying trajectory under the FRA constraint. To this end, we propose a nearest-community (N-C) trajectory planning algorithm to design the AUV relay trajectory. A member grouping method and the necessity of position (NoP) concept are proposed to further reduce the relay positions and trajectory length of the AUV. Simulation results verify that the approximate FRA is more than 90% consistent with the real FRA and show that the N-C using NoP-based member grouping can successfully receive more packets per minute and consume fewer sensors' energy than other algorithms.
引用
收藏
页码:9131 / 9142
页数:12
相关论文
共 50 条
  • [41] AUV-aided isolated sub-network prevention for reliable data collection by underwater wireless sensor networks
    Nandyala, Chandra Sukanya
    Cho, Ho-Shin
    COMPUTER NETWORKS, 2025, 262
  • [42] A Distributed Data-Gathering Protocol Using AUV in Underwater Sensor Networks
    Khan, Jawaad Ullah
    Cho, Ho-Shin
    SENSORS, 2015, 15 (08) : 19331 - 19350
  • [43] Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks
    Budd, Matthew
    Salavasidis, Georgios
    Kamarudzaman, Izzat
    Harris, Catherine A.
    Phillips, Alexander B.
    Duckworth, Paul
    Hawes, Nick
    Lacerda, Bruno
    2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 12051 - 12057
  • [44] Sleep-Scheduling-Based Hierarchical Data Collection Algorithm for Gliders in Underwater Acoustic Sensor Networks
    Han, Guangjie
    Zhou, Zeren
    Zhang, Yu
    Martinez-Garcia, Miguel
    Peng, Yan
    Xie, Ling
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (09) : 9466 - 9479
  • [45] Energy-Efficient Data Collection Scheme Based on Value of Information in Underwater Acoustic Sensor Networks
    Liu, Zhixin
    Liang, Ziqiang
    Yuan, Yazhou
    Chan, Kit Yan
    Guan, Xinping
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (10): : 18255 - 18265
  • [46] AUV control and communication using underwater acoustic networks
    Marques, Eduardo R. B.
    Pinto, Jose
    Kragelund, Sean
    Dias, Paulo S.
    Madureira, Luis
    Sousa, Alexandre
    Correia, Marcio
    Ferreira, Hugo
    Goncalves, Rui
    Martins, Ricardo
    Homer, Douglas P.
    Healey, Anthony J.
    Goncalves, Gil M.
    Sousa, Joao B.
    OCEANS 2007 - EUROPE, VOLS 1-3, 2007, : 1479 - +
  • [47] Underwater acoustic sensor networks
    Pan, Yi
    Diamant, Roee
    Liu, Jun
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2016, 12 (08)
  • [48] Collaboration of LoRaWAN and Underwater Acoustic Communications in Sensor Data Collection Applications
    Magrin, Davide
    Signori, Alberto
    Tronchin, Davide
    Campagnaro, Filippo
    Zorzi, Michele
    GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST, 2020,
  • [49] Efficient AUV-Aided Localization for Large-Scale Underwater Acoustic Sensor Networks
    Wang, Yiran
    Song, Shanshan
    Liu, Jun
    Guo, Xiaoxin
    Cui, Junhong
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (19): : 31776 - 31790
  • [50] Cluster Based Data Aggregation In Underwater Acoustic Sensor Networks
    Manjula, R. B.
    Manvi, Sunilkumar. S.
    2012 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2012, : 104 - 109