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Upscaling Fog Computing in Oceans for Underwater Pervasive Data Science Using Low-Cost Micro-Clouds

Published: 15 March 2023 Publication History

Abstract

Underwater environments are emerging as a new frontier for data science thanks to an increase in deployments of underwater sensor technology. Challenges in operating computing underwater combined with a lack of high-speed communication technology covering most aquatic areas means that there is a significant delay between the collection and analysis of data. This in turn limits the scale and complexity of the applications that can operate based on these data. In this article, we develop underwater fog computing support using low-cost micro-clouds and demonstrate how they can be used to deliver cost-effective support for data-heavy underwater applications. We develop a proof-of-concept micro-cloud prototype and use it to perform extensive benchmarks that evaluate the suitability of underwater micro-clouds for diverse underwater data science scenarios. We conduct rigorous tests in both controlled and field deployments, using river and sea waters. We also address technical challenges in enabling underwater fogs, evaluating the performance of different communication interfaces and demonstrating how accelerometers can be used to detect the likelihood of communication failures and determine which communication interface to use. Our work offers a cost-effective way to increase the scale and complexity of underwater data science applications, and demonstrates how off-the-shelf devices can be adopted for this purpose.

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cover image ACM Transactions on Internet of Things
ACM Transactions on Internet of Things  Volume 4, Issue 2
May 2023
199 pages
EISSN:2577-6207
DOI:10.1145/3586022
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Publication History

Published: 15 March 2023
Online AM: 08 December 2022
Accepted: 24 November 2022
Revised: 05 August 2022
Received: 03 October 2021
Published in TIOT Volume 4, Issue 2

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Author Tags

  1. Cloudlets
  2. edge computing
  3. cloud computing
  4. aquatic environments
  5. computation offloading

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  • Research-article

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  • LARGESCALE
  • INTERWHALE
  • INTERTAGUA
  • FCT
  • MARE
  • Associate Laboratory ARNET
  • European Social Fund via “ICT programme” measure, Estonian Center of Excellence in ICT Research
  • Academy of Finland

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