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Underwater Wireless Sensor Networks: A New Challenge for Topology Control–Based Systems

Authors:

Rodolfo W. L. Coutinho,

Azzedine Boukerche,

Luiz F. M. Vieira,

Antonio A. F. LoureiroAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 51, Issue 1

Article No.: 19, Pages 1 - 36

https://doi.org/10.1145/3154834

Published: 04 January 2018 Publication History

Abstract

Underwater wireless sensor networks (UWSNs) will pave the way for a new era of underwater monitoring and actuation applications. The envisioned landscape of UWSN applications will help us learn more about our oceans, as well as about what lies beneath them. They are expected to change the current reality where no more than 5% of the volume of the oceans has been observed by humans. However, to enable large deployments of UWSNs, networking solutions toward efficient and reliable underwater data collection need to be investigated and proposed. In this context, the use of topology control algorithms for a suitable, autonomous, and on-the-fly organization of the UWSN topology might mitigate the undesired effects of underwater wireless communications and consequently improve the performance of networking services and protocols designed for UWSNs. This article presents and discusses the intrinsic properties, potentials, and current research challenges of topology control in underwater sensor networks. We propose to classify topology control algorithms based on the principal methodology used to change the network topology. They can be categorized in three major groups: power control, wireless interface mode management, and mobility assisted–based techniques. Using the proposed classification, we survey the current state of the art and present an in-depth discussion of topology control solutions designed for UWSNs.

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Index Terms

Underwater Wireless Sensor Networks: A New Challenge for Topology Control–Based Systems
1. General and reference
  1. Document types
    1. Surveys and overviews
2. Networks

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 1

January 2019

743 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3177787

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL

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Publication History

Published: 04 January 2018

Accepted: 01 October 2017

Revised: 01 September 2017

Received: 01 January 2017

Published in CSUR Volume 51, Issue 1

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