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Wireless Sensors Networks – Recent Developments in Optimization and Future Perspectives

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 2294

Special Issue Editor


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Guest Editor
Physics and Astronomy Department, Colgate University, Oak Dr. 13, Hamilton, NY 13346, USA
Interests: spintronics; wireless sensor network

Special Issue Information

Dear Colleagues,

Wireless Sensor Networks are ubiquitous, and new applications are being continuously developed. Despite significant developments, optimization of such networks and quantitative measures for the characterization of the networks’ performance are still of considerable interest.

This Special Issue is intended to cover topics of general interest to WSN optimization, but with special emphasis on one or more of these areas:

  • Networks relevant to biomedical engineering, healthcare and biological signal processing;
  • Bio-inspired wireless networks (narrowly defined);
  • Quantum networking protocols for WSNs (need, feasibility, potential applications);
  • Machine learning for wireless networks;
  • Temporal network graphs;
  • Minimization of energy expenditure for sustainable networks;
  • Physical models of networks;
  • Network mathematical characteristics (robustness, centrality, small world, etc.).

We welcome the submission of original research articles and well-prepared, focused research articles. Whenever possible, more than one area of interest (as listed above) should be encompassed in the framework of the manuscript. Your cover letter should explicitly explain how your manuscript specifically addresses the theme(s) of this Special Issue.

Prof. Dr. Isakovic Abdel
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 submissions that pass pre-check are 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 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 2400 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

  • networks relevant to biomedical engineering, healthcare and biological signal processing
  • bio-inspired wireless networks (narrowly defined)
  • quantum networking protocols for WSNs
  • machine learning for wireless networks
  • minimization of energy expenditure for sustainable networks
  • physical models of networks
  • temporal network graphs
  • network mathematical characteristics (robustness, centrality, small world, etc.)

Published Papers (1 paper)

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20 pages, 1985 KiB  
Article
Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks during Optimization
by Nicholas S. DiBrita, Khouloud Eledlebi, Hanno Hildmann, Lucas Culley and A. F. Isakovic
Appl. Sci. 2022, 12(3), 1315; https://doi.org/10.3390/app12031315 - 26 Jan 2022
Cited by 4 | Viewed by 1898
Abstract
Temporal network analysis and time evolution of network characteristics are powerful tools in describing the changing topology of dynamic networks. This paper uses such approaches to better visualize and provide analytical measures for the changes in performance that we observed in Voronoi-type spatial [...] Read more.
Temporal network analysis and time evolution of network characteristics are powerful tools in describing the changing topology of dynamic networks. This paper uses such approaches to better visualize and provide analytical measures for the changes in performance that we observed in Voronoi-type spatial coverage, particularly for the example of time-evolving networks with a changing number of wireless sensors being deployed. Specifically, our analysis focuses on the role different combinations of impenetrable obstacles and environmental noise play in connectivity and overall network structure. It is shown how the use of (i) temporal network graphs, and (ii) network centrality and regularity measures illustrate the differences between various options developed for the balancing act of energy and time efficiency in network coverage. Last, we compare the outcome of these measures with the less abstract classification variables, such as percent area covered and cumulative distance traveled. Full article
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