Robust TDA-MAC for Practical Underwater Sensor Network Deployment: Lessons from USMART Sea Trials

Nils Morozs, Paul D. Mitchell, Yuriy Zakharov, Rahul Mourya, Yvan R. Petillot, Tyler Gibney, Mauro Dragone, Benjamin Sherlock, Jeffrey A. Neasham, Charalampos C. Tsimenidis, Mohammed Mohammed, Alistair Mcconnell, Simona Aracri, Adam Stokes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present the results of deploying the first test prototype of the USMART low cost underwater sensor network in
sea trials in Fort William, United Kingdom, on 29 June 2018 and 3
July 2018. We demonstrate the first ever hardware implementation
of the Transmit Delay Allocation MAC (TDA-MAC) protocol for
data gathering in underwater acoustic sensor networks (UASNs).
The results show a successful application of TDA-MAC to remote
environmental monitoring, integrating a range of sensor nodes
developed by the universities of Heriot-Watt, York, Newcastle and
Edinburgh. We focus on the practical challenges and their mitigation strategies related to TDA-MAC to increase its robustness in
real-world deployments, compared with theoretical and simulationbased studies. The lessons learned from the sea trials reported in
this paper prompted several crucial modifications to TDA-MAC
which form a solid foundation for further work on the development
of TDA-MAC based UASNs.
Original languageEnglish
Title of host publicationWUWNet’18
Subtitle of host publicationProceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
DOIs
Publication statusPublished - 3 Dec 2018
EventThe 13th ACM International Conference on Underwater Networks & Systems - Shenzhen, China
Duration: 3 Dec 20185 Dec 2018
https://wuwnet.acm.org/2018/

Conference

ConferenceThe 13th ACM International Conference on Underwater Networks & Systems
Abbreviated titleWUWNet'18
CountryChina
CityShenzhen
Period3/12/185/12/18
Internet address

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