Special Issue "WSN for Tracking and Localization"

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

Deadline for manuscript submissions: closed (31 August 2016).

Special Issue Editors

Dr. Hongchi Shi
E-Mail Website
Guest Editor
Department of Computer Science, Texas State University, 601 University Drive, San Marcos, TX 78666, USA
Interests: wireless sensor networks; parallel and distributed computing
Dr. Yi Shang
E-Mail Website
Guest Editor
Department of Computer Science, University of Missouri, Columbia, MO 65211, USA
Interests: artificial intelligence; wireless sensor networks; mobile computing
Dr. Xiao Chen
E-Mail Website
Guest Editor
Department of Computer Science, Texas State University, 601 University Drive, San Marcos, TX 78666, USA
Interests: sensor networks; ad hoc wireless networks; delay tolerant networks

Special Issue Information

Dear Colleagues,

Applications of wireless sensor networks (WSNs) have been growing tremendously in recent years. Target tracking and localization with WSNs has been a topic of interest in many applications. Target tracking through WSNs has a large spectrum of applications, such as surveillance, robot navigation, natural disaster relief, traffic monitoring, and pursuit evasion games. Localization has a wide variety of applications, such as inventory management, intrusion detection, road traffic monitoring, health monitoring, and reconnaissance.

Localization aims to determine the position of an object in space, and tracking seeks to identify the position of an object over time. Many algorithms and systems have been proposed and developed for tracking and localization with WSNs. There are still challenges to solving the complex tracking and location problems, exhibiting varying characteristics of the target to be tracked and localized, the environment where the target is tracked and localized, and the availability of sensor network technology.

This Special Issue solicits high-quality papers on recent advances in wireless sensor networks for tracking and localization.

Topics of Interest

This Special Issue covers topics including, but not limited to:

  • Single target tracking
  • Multiple target tracking
  • Continuous target tracking
  • Prediction based target tracking
  • Range free localization
  • Range based localization
  • Collaborative localization and mapping
  • Ad hoc or opportunistic localization and mapping
  • Relay network localization
  • Multi-static sonar localization and tracking
  • Energy-efficient localization and tracking
  • Novel applications of localization and tracking
  • Survey of localization and tracking technologies

Dr. Hongchi Shi
Dr. Yi Shang
Dr. Xiao Chen
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. 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 1600 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.

Published Papers (2 papers)

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Research

Article
A Framework for Multiple Object Tracking in Underwater Acoustic MIMO Communication Channels
J. Sens. Actuator Netw. 2017, 6(1), 2; https://doi.org/10.3390/jsan6010002 - 08 Feb 2017
Cited by 3 | Viewed by 5177
Abstract
This work presents a computational framework for the analysis and design of large-scale algorithms utilized in the estimation of acoustic, doubly-dispersive, randomly time-variant, underwater communication channels. Channel estimation results are used, in turn, in the proposed framework for the development of efficient high [...] Read more.
This work presents a computational framework for the analysis and design of large-scale algorithms utilized in the estimation of acoustic, doubly-dispersive, randomly time-variant, underwater communication channels. Channel estimation results are used, in turn, in the proposed framework for the development of efficient high performance algorithms, based on fast Fourier transformations, for the search, detection, estimation and tracking (SDET) of underwater moving objects through acoustic wavefront signal analysis techniques associated with real-time electronic surveillance and acoustic monitoring (eSAM) operations. Particular importance is given in this work to the estimation of the range and speed of deep underwater moving objects modeled as point targets. The work demonstrates how to use Kronecker products signal algebra (KSA), a branch of finite-dimensional tensor signal algebra, as a mathematical language for the formulation of novel variants of parallel orthogonal matching pursuit (POMP) algorithms, as well as a programming aid for mapping these algorithms to large-scale computational structures, using a modified Kuck’s paradigm for parallel computation. Full article
(This article belongs to the Special Issue WSN for Tracking and Localization)
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Article
An Experimental Comparison of Radio Transceiver and Transceiver-Free Localization Methods
J. Sens. Actuator Netw. 2016, 5(3), 13; https://doi.org/10.3390/jsan5030013 - 17 Aug 2016
Cited by 8 | Viewed by 4778
Abstract
This paper presents an experimental performance assessment for localization systems using received signal strength (RSS) measurements from a wireless sensor network. In this experimental study, we compare two types of model-based localization methods: transceiver-based localization, which locates objects using RSS from transmitters to [...] Read more.
This paper presents an experimental performance assessment for localization systems using received signal strength (RSS) measurements from a wireless sensor network. In this experimental study, we compare two types of model-based localization methods: transceiver-based localization, which locates objects using RSS from transmitters to receivers at known locations; and transceiver-free localization, which estimates location by using RSS changes on known-location nodes caused by objects. We evaluate their performance using three sets of experiments with different environmental conditions. Our performance analysis shows that transceiver-free localization methods are generally more accurate than transceiver-based localization methods for a wireless sensor network with high node density. Full article
(This article belongs to the Special Issue WSN for Tracking and Localization)
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