Shallow Water Acoustic Networking [Algorithms & Protocols]

Rohini Avinash Nere

Shallow Water Acoustic Networking [Algorithms & Protocols]

Rohini Avinash Nere * §

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anun789 §

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§ Maharashtra academy of engineering, alandi

Shallow Water Acoustic Networking [Algorithms & Protocols]

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Abstract

Acoustic networks of autonomous underwater vehicles (AUVs) cannot typically rely on protocols intended for terrestrial radio networks. This work describes a new location-aware source routing (LASR) protocol shown to provide superior network performance over two commonly used network protocols-flooding and dynamic source routing (DSR)-in simulation studies of underwater acoustic networks of AUVs. LASR shares some features with DSR but also includes an improved link/route metric and a node tracking system. LASR also replaces DSR’s shortest-path routing with the expected transmission count (ETX) metric. This allows LASR to make more informed routing decisions, which greatly increases performance compared to DSR. Provision for a node tracking system is another novel addition: using the time-division multiple access (TDMA) feature of the simulated acoustic modem, LASR includes a tracking system that predicts node locations, so that LASR can proactively respond to topology changes. LASR delivers 2-3 times as many messages as flooding in 72% of the simulated missions and delivers 2-4 times as many messages as DSR in 100% of the missions. In 67% of the simulated missions, LASR delivers messages requiring multiple hops to cross the network with 2-5 times greater reliability than flooding or DSR.

References

16 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Rohini Avinash Nere, anun789. 2012. "Shallow Water Acoustic Networking [Algorithms & Protocols]". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 12 (GJCST Volume 12 Issue E16).

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GJCST Volume 12 Issue E16

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

acoustic network auv under water communication

Classification

GJCST-E Classification C.2.1

Submission ReceivedDecember 11, 2011
Peer Review Double Blind
Handling Editor
Accepted January 2, 2012
Published December 19, 2012

Version of record

v1.2

Issue date

December 19, 2012

Language

English

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Rohini Avinash Nere, Mrs. Uma Nagraj (PhD/Dr. count: 0)

View Count (all-time): 485

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Publish Date: 2012 01, Sun

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Total Views: 4.3K

Total Downloads: 351

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