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Special Issue "Underwater Sensors Network"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 20 February 2020.

Special Issue Editor

Guest Editor
Assoc. Prof. Jaime Lloret Website E-Mail
Department of Communications, Polytechnic University of Valencia, Valencia, Spain
Interests: Network Protocols, Network Algorithms, Wireless Sensor Networks, Ad Hoc Networks, Multimedia Streaming

Special Issue Information

Dear Colleagues,

About 70% of the globe is covered by water, with many underwater places still to monitor and supervise. In addition, there are many kinds of underwater environments. Advances in underwater sensors and underwater sensor networks are making them more accesible because they are cheaper, with higher computing capacity, and consume less battery. The range of applications where they can be used is increasing every day. This Special Issue is focused on collecting the latest applications, advances, and challenges in underwater sensor nodes and underwater sensor networks.

Authors are invited to submit complete original unpublished papers, which are not under review in any other conference or journal. The topics can be discussed in term of the state of the art, standards, implementations, running experiments, applications, new research proposals, and industrial case studies.

Prof. Jaime Lloret Mauri
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Underwater sensor nodes
  • Devices for underwater sensing
  • Underwater wireless sensor networks
  • Topologies for underwater sensor networks
  • Underwater sensor networks communication
  • Sensor networks for aquaculture, fish farming and fish monitoring
  • Underwater surveillance and monitoring
  • Databases and big data for underwater systems control
  • Underwater modems

Published Papers (1 paper)

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Research

Open AccessArticle
Dynamic Reference Selection-Based Self-Localization Algorithm for Drifted Underwater Acoustic Networks
Sensors 2019, 19(18), 3920; https://doi.org/10.3390/s19183920 - 11 Sep 2019
Abstract
Self-localization has become one of the major areas of research in drifted underwater acoustic networks (DUANs) since many applications are based on the knowledge of nodes’ positions. However, self-localization for DUANs faces two main challenges: the insufficient anchors and the varying network topology. [...] Read more.
Self-localization has become one of the major areas of research in drifted underwater acoustic networks (DUANs) since many applications are based on the knowledge of nodes’ positions. However, self-localization for DUANs faces two main challenges: the insufficient anchors and the varying network topology. Both affect the localization performance seriously. In this paper, we focus on these two challenges and propose a dynamic reference selection-based self-localization algorithm for DUANs (DRSL) to improve the localization performance. First, an optimal reference selection scheme is presented to solve the insufficient anchors’ problem. The selected optimal reference node can not only assist the insufficient anchors in accomplishing the localization procedure, but also obviously increase the localization accuracy. Based on the proposed optimal reference selection scheme, a dynamic reference selection-based self-localization algorithm is proposed to solve the topology changing problem. The proposed algorithm can improve the localization performance for DUANs significantly by selecting the reference node dynamically according to the predicted network topology, which is more suitable for DUANs with mobile sensor nodes. Simulation results show that the proposed DRSL algorithm can increase the localization accuracy greatly with insufficient anchor nodes and varying network topology. In addition, DRSL algorithm also has a lower communication cost than other anchor-free approaches, which distinctly demonstrates the advantages of the proposed DRSL algorithm. Full article
(This article belongs to the Special Issue Underwater Sensors Network)
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