Special Issue "Recent Advances on Wireless Acoustic Sensor Networks (WASN)"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: 31 December 2018

Special Issue Editors

Guest Editor
Prof. Jesús B. Alonso

Instituto para el Desarrollo Tecnológico y la Innovación en Comunicaciones (IDeTIC), University of Las Palmas de Gran Canaria
E-Mail
Interests: Patter recognition, signal processing, classification
Guest Editor
Dr. David Sánchez-Rodríguez

Institute for Technological Development and Innovation in Communications, Telematic Engineering Department, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, s/n, Pabellón C - Despacho 237, E-35017, Las Palmas de Gran Canaria, Spain
Website | E-Mail
Interests: wireless sensor network; data mining; internet of things; indoor localization

Special Issue Information

Dear Colleagues,

Wireless Acoustic Sensor Networks (WASN) have been developed under the paradigms of both the Smart City and the Internet of Things (IoT). In recent years, there has been a rapid evolution of WASNs, and many works have been developed. To date, several authors have designed and deployed WASNs for different purposes, such as noise monitoring or sound identification of road traffic, people, animals, or shots.

Nevertheless, the WASN paradigm presents several challenges, ranging from those derived from the design and development of wireless sensor networks, such as energy harvesting and low cost hardware development and maintenance, to some specific challenges derived from the automation of data collection and subsequent signal processing, such as to detect events.

Authors are invited to submit their work to this Special Issue, in which new advances and proposals in the use of WASNs are presented. The aim is to present contributions from different aspects of innovation in the field of WASNs: Theoretical studies, advances in the design of new sensors, new fields of application, results of longitudinal studies in the use of this technology and other studies where WASNs are the focus of interest.

Dr. Jesús B. Alonso-Hernández
Dr. David Sánchez-Rodríguez
Guest Editors

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. Applied Sciences is an international peer-reviewed open access monthly 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 1400 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

  • Wireless Acoustic Sensor Network (WASN)
  • Smart City
  • Internet of Things (IoT)

Published Papers (1 paper)

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Research

Open AccessArticle A Weighted Turbo Equalized Multi-Band Underwater Wireless Acoustic Communications
Appl. Sci. 2018, 8(10), 1711; https://doi.org/10.3390/app8101711
Received: 24 August 2018 / Revised: 17 September 2018 / Accepted: 18 September 2018 / Published: 20 September 2018
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Abstract
The multi-band UWAS (Underwater Wireless Acoustic Sensor) communication techniques are effective in terms of performance and throughput efficiency because they can overcome selective frequency fading by allocating the same data to different frequency bands, in an environment of rapidly changing channel transfer characteristic.
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The multi-band UWAS (Underwater Wireless Acoustic Sensor) communication techniques are effective in terms of performance and throughput efficiency because they can overcome selective frequency fading by allocating the same data to different frequency bands, in an environment of rapidly changing channel transfer characteristic. However, the multi-band configuration may have a performance worse than the single-band one because performance degradation in one particular band affects the output from all the other bands. This problem can be solved by using a receiving end that analyzes the error rates of each band, sets threshold values and allocates the lower weights to the inferior bands. There are many methods of setting threshold values. In this paper, we proposed an algorithm to set the threshold value by using the preamble error rates, which are known data that have to be transmitted and received. In addition, we have analyzed the efficiency of multi-band transmission scheme in the UWAS communication by applying 1~4 number of multi-bands, using turbo pi codes, with a coding rate of 1/3. We evaluated the performance of the proposed multi-bands transmission model in real underwater environments. Experimental results showed that the performance increased as the number of multiple bands increased. Furthermore, the performance of multi-band was improved when the proposed threshold algorithm was applied. Full article
(This article belongs to the Special Issue Recent Advances on Wireless Acoustic Sensor Networks (WASN))
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