Peng Bo
Dual RIS-aided Parallel Intelligence Surface for IoAMVSs: A Co-Design Approach for 3C Problems
Bo, Peng; Tu, Wanqing; Tu, Xingbin; Qu, Fengzhong; Wang, Fei-Yue
Authors
Abstract
The internet of autonomous marine vehicle systems (IoAMVSs) requires ultra-reliable communications, ultra-real-time control, and ultra-high precision computation. Classical parallel intelligence theory is a popular method for developing IoAMVSs in the literature. However, this method has made it difficult to achieve the anticipated performance when co-designing communications, control, and computing (3C) in complex oceanic communication environments. This article explores the efficient integration of reconfigurable intelligence surface (RIS) with classical parallel intelligent theory to address these issues effectively. A novel framework is proposed in this article to implement a dual RIS-aided parallel intelligence theory for enabling large-scale cross-media 3C co-design in IoAMVSs. The framework consists of electromagnetic RIS and acoustic RIS, which form the dual RIS-aided parallel intelligence surfaces. Our dual RIS-aided parallel intelligence surfaces have the potential to efficiently achieve highly accurate position, navigation, cooperative control, and data fusion for IoAMVSs. We hope that our framework can promote the development of more efficient, energy-saving, and safer intelligent ocean transportation systems.
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 9, 2023 |
Online Publication Date | Jan 2, 2024 |
Publication Date | Jan 2, 2024 |
Deposit Date | Jan 8, 2024 |
Journal | IEEE Transactions on Intelligent Vehicles |
Print ISSN | 2379-8858 |
Electronic ISSN | 2379-8904 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1109/tiv.2023.3348996 |
Public URL | https://durham-repository.worktribe.com/output/2116097 |
You might also like
A Vehicle Message Scheduling Scheme For Vehicle Trust Management
(2021)
Presentation / Conference Contribution
A Seamless and Efficient Transition Algorithm For Aerial Drone Multicasting
(2021)
Presentation / Conference Contribution
An Efficient Metric for Physical-layer Jammer Detection in Internet of Things Networks
(2021)
Presentation / Conference Contribution
Physical-layer Jammer Detection in Multi-hop IoT Networks
(2023)
Journal Article
Resource-Efficient Seamless Transitions For High-Performance Multi-hop UAV Multicasting
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search