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Investigation of a short-range underwater acoustic communication channel for MAC protocol design

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conference contribution
posted on 2025-05-09, 07:20 authored by Gunilla E. Burrowes, Jamil Y. Khan
Mobile swarms of autonomous underwater vehicles (AUV) have exciting potential for extending current AUV applications and adding new possibilities to the working environment of the oceans. For swarm operations to occur, fast reliable communication between all vehicles within the swarm is needed. The challenge for underwater communication is the very different and unique characteristics of the channel compared to the terrestrial environment. Acoustic communication has been the typical physical layer technology used for underwater operations and has experienced significant research and progress over the last few decades, however this focus has been predominately on longer range acoustic channels. The work presented in this paper is to determine the critical parameters of an underwater acoustic communication channel for the evaluation and development of a new MAC Protocol designed for short range communication between vehicles operating within a swarm. This paper provides a review of the essential channel characteristics and the modelling currently in use for this purpose, highlighting the difference for short range operations. It then assesses the electro-acoustic interface with investigation into the parametric relationship between digital modulation requirements and short range channel characteristics.

History

Source title

4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010: Proceedings

Name of conference

4th International Conference on Signal Processing and Communication Systems (ICSPCS'2010)

Location

Gold Coast, Qld

Start date

2010-12-13

End date

2010-12-15

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Place published

Piscataway, NJ

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Rights statement

Copyright © 2010 IEEE. Reprinted from the Proceedings of the 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.