Frame Error Rate Restricted AUV Relaying Data Collection in Underwater Acoustic Sensor Networks

Mingyue Cheng, Qianqian Wang, Quansheng Guan, Weiqi Chen, Tony Q.S. Quek

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

In recent years, reliable and timely data collection from underwater acoustic sensor networks (UASNs) has attracted widespread attention in academia. For this proposal, we study the autonomous underwater vehicle (AUV)-based real-time mobile relaying network in UASNs. Relay placement determines the reliability of communication in the relay network. We first formulate the relay positions that can meet a certain frame error rate (FER) requirement as the FER-restricted area (FRA), and approximate the FRA with a three-dimensional ellipsoid mathematical formula. The problem of reliable and timely data collection becomes planning a short AUV relaying trajectory under the different-sized FRA constraints. To this end, we propose a nearest-community (N-C) trajectory planning algorithm and further propose a member grouping method to form communities. Simulation results verify that the approximate FRA is more than 90% consistent with the real FRA and show that the proposed N-C can successfully receive more packets per minute and consume fewer sensors' energy than other algorithms.

原文English
主出版物標題ICC 2023 - IEEE International Conference on Communications
主出版物子標題Sustainable Communications for Renaissance
編輯Michele Zorzi, Meixia Tao, Walid Saad
發行者Institute of Electrical and Electronics Engineers Inc.
頁面6175-6180
頁數6
ISBN(電子)9781538674628
DOIs
出版狀態Published - 2023
事件2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy
持續時間: 2023 5月 282023 6月 1

出版系列

名字IEEE International Conference on Communications
2023-May
ISSN(列印)1550-3607

Conference

Conference2023 IEEE International Conference on Communications, ICC 2023
國家/地區Italy
城市Rome
期間23-05-2823-06-01

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 電氣與電子工程

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