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CDMA-Based Multi-Domain Communications Network for Marine Robots

Published: 13 February 2020 Publication History

Abstract

This paper reports on a cross-domain communication system for marine robots based on code-division multiple access (CDMA). The underwater communications channel is a difficult transmission medium due to its link quality variability which depends on location and the application. It also depends on environmental parameters which can vary temporally from hours to days to months to season. Understanding the channel characteristics for data transmission is essential to the development and evaluation of existing or new MAC and Routing Level protocols which better utilize the limited resources within this unpredictable channel. CDMA is the most promising physical layer and multiple access technique for underwater acoustic sensor networks because it: i) is robust to frequency selective fading, ii) compensates for multi-path effects at the receiver, and iii) allows receivers to distinguish among signals simultaneously transmitted by multiple devices. For these reasons, CDMA increases channel re-use and reduces packet retransmissions, which results in decreased energy consumption and increased network throughput. Development of a framework for autonomous co-ordination and networking of marine robot teams from extended ranges to transmit images/information from underwater to above water is proposed using CDMA which is a complete stack of communications protocol from the physical to the application layer for marine robots that spans multiple domains, i.e. under, on and above water. Simulation of the proposed network was performed using network simulator-3 (NS-3). The proposed protocol edge CDMA properties provide multiple access to the limited underwater bandwidth whereas previous reported work only considered CDMA for the physical layer. Simulations show the proposed protocol outperforms existing underwater acoustic network protocols.

References

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Exercise unmanned warrior: an international exercise using autonomous tech to detect underwater mines 2016. Retrieved March 01, 2019 from https://www.canada.ca/en/defenceresearch-development/news/articles/exercise-unmannedwarrior-aninternational-exercise-using-autonomous-tech-to-detect-underwatermines.html
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Anand Nayyar and Valentina Emilia Balas. 2019. Analysis of Simulation Tools for Underwater Sensor Networks (UWSNs). In International Conference on Innovative Computing and Communications, Siddhartha Bhattacharyya, Aboul Ella Hassanien, Deepak Gupta, Ashish Khanna, and Indrajit Pan (Eds.). Springer Singapore, Singapore, 165--180.
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NS-3 UAN Models 2019. Retrieved September 14, 2019 from https://www.nsnam.org/docs/release/3.9/doxygen/group___u_a_n.html
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Dario Pompili, Tommaso Melodia, and Ian F. Akyildiz. 2009. A CDMA-based Medium Access Control for Underwater Acoustic Sensor Networks. Trans. Wireless. Comm. 8, 4 (April 2009), 1899--1909. https://doi.org/10.1109/TWC.2009.080195
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J. Ross, J. Lindsay, E. Gregson, A. Moore, J. Patel, and M. Seto. 2019. Collaboration of multi-domain marine robots towards above and below-water characterization of floating targets. In 2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE). 1--7. https://doi.org/10.1109/ROSE.2019.8790419
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Xiaohui Zeng, Zhaohui Luo, Fangjiong Chen, Hua Yu, Fei Ji, and Quanshen Guang. 2018. An NS-3 Compatible Emulation Framework for Underwater Acoustic Network. In Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems (WUWNet '18). ACM, New York, NY, USA, Article 31, 5 pages. https://doi.org/10.1145/3291940.3291973
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Yibo Zhu, Robert Zhong Zhou, James Peng Zheng, and Jun-Hong Cui. 2010. An Efficient Geo-Routing Aware MAC Protocol for Underwater Acoustic Networks. In Ad Hoc Networks, Jun Zheng, David Simplot-Ryl, and Victor C. M. Leung (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 185--200.

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cover image ACM Other conferences
WUWNet '19: Proceedings of the 14th International Conference on Underwater Networks & Systems
October 2019
210 pages
ISBN:9781450377409
DOI:10.1145/3366486
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 February 2020

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Author Tags

  1. Autonomous Mission-planning
  2. Autonomy
  3. CDMA
  4. MATLAB
  5. Marine Robotics
  6. Multi-robot Collaboration - UUV
  7. NS-3
  8. USV & UAV
  9. UWSN

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  • Extended-abstract
  • Research
  • Refereed limited

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  • Natural Science and Engineering Research Council

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WUWNET'19

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Overall Acceptance Rate 84 of 180 submissions, 47%

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