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Special Issue "Underwater Sensor Networks"

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A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).

Deadline for manuscript submissions: closed (31 December 2014)

Special Issue Editors

Guest Editor
Dr. Jaime Lloret Mauri

Integrated Management Coastal Research Institute, Polytechnic University of Valencia, Camino de Vera 46022, Valencia, Spain
Website | E-Mail
Fax: +34 96 2849313
Interests: Wireless Sensor Networks; Wireless Local Area Networks; routing protocols; P2P networks Video Streaming
Guest Editor
Dr. Sandra Sendra

Integrated Management Coastal Research Institute, Polytechnic University of Valencia, Camino de Vera 46022, Valencia, Spain
E-Mail
Interests: sensor and transducers; wireless sensor networks; monitoring in marine environments; environmental monitoring; electronic deployments; saving energy

Special Issue Information

Dear Colleagues,

New advances in information technologies, circuits, systems and communication protocols have made possible the deployment of underwater sensor networks. These issues have led researchers to propose new underwater sensor nodes, sensor node placement, protocols for their communication, architectures, and study new ways to communicate with higher bandwidth at higher distances. Moreover, the range of underwater applications is growing fast because of the last research in oceanography, marine science and aquiculture, so there is a need of underwater sensor networks in order to support these disciplines.

This special Issue tries to collect unpublished works on theory and practice on underwater sensor networks, with special interest on real implementations and deployments. We also seek new proposals on wireless communication technologies.

Dr. Jaime Lloret Mauri
Dr. Sandra Sendra
Guest Editors

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed Open Access quarterly 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 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.


Keywords

  • underwater sensor nodes
  • underwater sensor node placement
  • routing protocols for underwater sensor networks
  • underwater communications
  • underwater architectures
  • underwater wireless communications
  • underwater sensor network deployments

Published Papers (4 papers)

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Research

Open AccessArticle Multi-Hop-Enabled Energy-Efficient MAC Protocol for Underwater Acoustic Sensor Networks
J. Sens. Actuator Netw. 2015, 4(3), 226-250; doi:10.3390/jsan4030226
Received: 1 January 2015 / Revised: 11 July 2015 / Accepted: 7 August 2015 / Published: 2 September 2015
Cited by 2 | PDF Full-text (777 KB) | HTML Full-text | XML Full-text
Abstract
In multi-hop underwater acoustic sensor networks (UWASNs), packet collisions due to hidden and local nodes adversely affect throughput, energy efficiency and end-to-end delay. Existing medium access control (MAC) protocols try to solve the problem by utilizing a single-phase contention resolution mechanism, which causes
[...] Read more.
In multi-hop underwater acoustic sensor networks (UWASNs), packet collisions due to hidden and local nodes adversely affect throughput, energy efficiency and end-to-end delay. Existing medium access control (MAC) protocols try to solve the problem by utilizing a single-phase contention resolution mechanism, which causes a large number of control packet exchanges and energy overhead. In this paper, we introduce a MAC protocol that splits this single-phase contention resolution mechanism into two phases to provide efficient multi-hop networking. In the first phase, local nodes are eliminated from the contention, and in the later phase, the adverse effects of hidden nodes are mitigated. This two-phased contention resolution provides higher energy efficiency, better throughput and shorter end-to-end delay, and it also enables adaptability for different network architectures. A probabilistic model of the proposed protocol is also developed to analyse the performance. The proposed protocol has been evaluated through quantitative analysis and simulation. Results obtained through quantitative analysis and simulation reveal that the proposed protocol achieves significantly better energy efficiency, higher and more stable throughput and lower end-to-end delay compared to existing protocols, namely T-Lohi and slotted floor acquisition multiple access (S-FAMA). Full article
(This article belongs to the Special Issue Underwater Sensor Networks)
Open AccessArticle Adaptive Decentralized Control of Mobile Underwater Sensor Networks and Robots for Modeling Underwater Phenomena
J. Sens. Actuator Netw. 2014, 3(2), 113-149; doi:10.3390/jsan3020113
Received: 2 April 2014 / Revised: 6 May 2014 / Accepted: 7 May 2014 / Published: 22 May 2014
Cited by 2 | PDF Full-text (4717 KB) | HTML Full-text | XML Full-text
Abstract
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. In this article, we develop a gradient-based decentralized controller that dynamically adjusts the depth of a network of underwater sensors
[...] Read more.
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. In this article, we develop a gradient-based decentralized controller that dynamically adjusts the depth of a network of underwater sensors to optimize sensing for computing maximally detailed volumetric models. We prove that the controller converges to a local minimum and show how the controller can be extended to work with hybrid robot and sensor network systems. We implement the controller on an underwater sensor network with depth adjustment capabilities. Through simulations and in-situ experiments, we verify the functionality and performance of the system and algorithm. Full article
(This article belongs to the Special Issue Underwater Sensor Networks)
Figures

Open AccessArticle Sensor Enclosures: Example Application and Implications for Data Coherence
J. Sens. Actuator Netw. 2013, 2(4), 761-779; doi:10.3390/jsan2040761
Received: 15 October 2013 / Revised: 2 December 2013 / Accepted: 2 December 2013 / Published: 11 December 2013
Cited by 4 | PDF Full-text (37771 KB) | HTML Full-text | XML Full-text
Abstract
Sensors deployed in natural environments, such as rivers, beaches and glaciers, experience large forces and damaging environmental conditions. Sensors need to be robust, securely operate for extended time periods and be readily relocated and serviced. The sensors must be housed in materials that
[...] Read more.
Sensors deployed in natural environments, such as rivers, beaches and glaciers, experience large forces and damaging environmental conditions. Sensors need to be robust, securely operate for extended time periods and be readily relocated and serviced. The sensors must be housed in materials that mimic natural conditions of size, density, shape and roughness. We have developed an encasement system for sensors required to measure large forces experienced by mobile river sediment grains. Sensors are housed within two discrete cases that are rigidly conjoined. The inner case exactly fits the sensor, radio components and power source. This case can be mounted within outer cases of any larger size and can be precisely moulded to match the shapes of natural sediment. Total grain mass can be controlled by packing the outer case with dense material. Case design uses Solid-WorksTM software, and shape-matching involved 3D laser scanning of natural pebbles. The cases were printed using a HP DesignjetTM 3D printer that generates high precision parts that lock rigidly in place. The casings are watertight and robust. Laboratory testing produces accurate results over a wider range of accelerations than previously reported. Full article
(This article belongs to the Special Issue Underwater Sensor Networks)
Open AccessArticle MIMO Underwater Acoustic Communications in Ports and Shallow Waters at Very High Frequency
J. Sens. Actuator Netw. 2013, 2(4), 700-716; doi:10.3390/jsan2040700
Received: 14 August 2013 / Revised: 23 September 2013 / Accepted: 24 September 2013 / Published: 11 October 2013
Cited by 1 | PDF Full-text (905 KB) | HTML Full-text | XML Full-text
Abstract
Hermes is a Single-Input Single-Output (SISO) underwater acoustic modem that achieves very high-bit rate digital communications in ports and shallow waters. Here, the authors study the capability of Hermes to support Multiple-Input-Multiple-Output (MIMO) technology. A least-square channel estimation algorithm is used to evaluate
[...] Read more.
Hermes is a Single-Input Single-Output (SISO) underwater acoustic modem that achieves very high-bit rate digital communications in ports and shallow waters. Here, the authors study the capability of Hermes to support Multiple-Input-Multiple-Output (MIMO) technology. A least-square channel estimation algorithm is used to evaluate multiple MIMO channel impulse responses at the receiver end. A deconvolution routine is used to separate the messages coming from different sources. This paper covers the performance of both the channel estimation and the MIMO deconvolution processes using either simulated data or field data. The MIMO equalization performance is measured by comparing three relative root mean-squared errors (RMSE), obtained by calculations between the source signal (a pseudo-noise sequence) and the corresponding received MIMO signal at various stages of the deconvolution process; prior to any interference removal, at the output of the Linear Equalization (LE) process and at the output of an interference cancellation process with complete a priori knowledge of the transmitted signal. Using the simulated data, the RMSE using LE is −20.5 dB (where 0 dB corresponds to 100% of relative error) while the lower bound value is −33.4 dB. Using experimental data, the LE performance is −3.3 dB and the lower bound RMSE value is −27 dB. Full article
(This article belongs to the Special Issue Underwater Sensor Networks)

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