Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3631726.3631731acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
research-article

Adaptive Virtual Carrier Sense in Underwater Broadcasting

Published: 12 June 2024 Publication History

Abstract

The underwater acoustic communication medium introduces significant challenges that often limit communication to flooding protocols. This work presents the Network Allocation Technique in Flooding (NATFLOOD) protocol, intended for use with Underwater Acoustic Sensor Networks (UASNs). NATFLOOD applies a novel Adaptive Network Allocation Vector (ANAV) to reduce duplicates and collisions. The performance of NATFLOOD is tested in a comparative simulation against DFLOOD, a leading UASN flooding protocol. In simulation, NATFLOOD demonstrates an average reduction in duplicates and collisions of 24.29 ± 0.01% when compared to DFLOOD. This reduction is achieved by the ability of NATFLOOD to solve the broadcast problem with 19.96 ± 0.03% fewer packets than DFLOOD. This reduction is achieved with an increase to protocol completion time of 2.21 ± 0.02%.

References

[1]
I. F. Akyildiz, D. Pompili, and T. Melodia. 2005. Underwater acoustic sensor networks: research challenges. Ad hoc networks 3, 3 (2005), 257–279.
[2]
B. Bollobás. 1998. Modern graph theory. Vol. 184. Springer Science & Business Media.
[3]
T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein. 2022. Introduction to algorithms. MIT press.
[4]
R. Diamant, G. N. Shirazi, and L. Lampe. 2013. Robust spatial reuse scheduling in underwater acoustic communication networks. IEEE Journal of Oceanic Engineering 39, 1 (2013), 32–46.
[5]
D. Fang, Y. Li, H. Huang, and L. Yin. 2010. A CSMA/CA-based MAC protocol for underwater acoustic networks. In 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM). IEEE, 1–4.
[6]
M Goetz and I Nissen. 2012. GUWMANET—Multicast routing in underwater acoustic networks. In 2012 Military Communications and Information Systems Conference (MCC). IEEE, 1–8.
[7]
M. S. Haghighi, M. Najimi, K. Mohamedpour, and Y. Darmani. 2008. An adaptive network allocation vector for IEEE 802.11-based multi-hop networks. In 2008 Second International Conference on Future Generation Communication and Networking, Vol. 1. IEEE, 279–282.
[8]
S. Jiang. 2017. State-of-the-art medium access control (MAC) protocols for underwater acoustic networks: A survey based on a MAC reference model. IEEE Communications Surveys & Tutorials 20, 1 (2017), 96–131.
[9]
S. Jiang. 2018. Overview of underwater acoustic communication. Wireless networking principles: from terrestrial to underwater acoustic (2018), 233–244.
[10]
Z. Jiang. 2008. Underwater acoustic networks–issues and solutions. International journal of intelligent control and systems 13, 3 (2008), 152–161.
[11]
J. Kalwa. 2011. The RACUN-project: Robust acoustic communications in underwater networks—An overview. OCEANS 2011 IEEE-Spain (2011), 1–6.
[12]
S.-Y. Ni, Y.-C. Tseng, Y.-S. Chen, and J.-P. Sheu. 1999. The broadcast storm problem in a mobile ad hoc network. In Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking. 151–162.
[13]
P. Nicopolitidis, G. I. Papadimitriou, and A. S. Pomportsis. 2010. Adaptive data broadcasting in underwater wireless networks. IEEE Journal of Oceanic Engineering 35, 3 (2010), 623–634.
[14]
R. Otnes and S. Haavik. 2013. Duplicate reduction with adaptive backoff for a flooding-based underwater network protocol. In 2013 MTS/IEEE OCEANS-Bergen. IEEE, 1–6.
[15]
R. Otnes, J. Locke, A. Komulainen, S. Blouin, D. Clark, H. Austad, and J. Eastwood. 2018. Dflood network protocol over commercial modems. In 2018 Fourth Underwater Communications and Networking Conference (UComms). IEEE, 1–5.
[16]
R. Otnes, P. A. van Walree, H. Buen, and H. Song. 2015. Underwater acoustic network simulation with lookup tables from physical-layer replay. IEEE Journal of Oceanic Engineering 40, 4 (2015), 822–840.
[17]
R. Parikh. 1987. Knowledge and the Problem of Logical Omniscience. In ISMIS, Vol. 87. Citeseer, 432–439.
[18]
D. Pompili and I. F. Akyildiz. 2009. Overview of networking protocols for underwater wireless communications. IEEE Communications magazine 47, 1 (2009), 97–102.
[19]
S. Porretta, M. Barbeau, S. Blouin, E. Kranakis, and A. Webstey. 2023. A Novel Underwater Packet Flooding Protocol. In To appear in 2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE.
[20]
Md. A. Rahman, Y. Lee, and I. Koo. 2017. An adaptive network allocation vector timer-based carrier sense multiple access with collision avoidance medium access control protocol for underwater acoustic sensor networks. International Journal of Distributed Sensor Networks 13, 1 (2017).
[21]
N. Santoro. 2006. Design and analysis of distributed algorithms. John Wiley & Sons.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
WUWNet '23: Proceedings of the 17th International Conference on Underwater Networks & Systems
November 2023
239 pages
ISBN:9798400716744
DOI:10.1145/3631726
Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2024

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

WUWNet 2023

Acceptance Rates

Overall Acceptance Rate 84 of 180 submissions, 47%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 14
    Total Downloads
  • Downloads (Last 12 months)14
  • Downloads (Last 6 weeks)5
Reflects downloads up to 12 Nov 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media