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Electronics
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Contributions of Advanced Networking and Cloud Computing to Leverage Regional...
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Contributions of Advanced Networking and Cloud Computing to Leverage Regional Development

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 September 2024 | Viewed by 2101

Special Issue Editors

Prof. Dr. Carlos Rompante Cunha

E-Mail Website
Guest Editor
UNIAG & CeDRI, Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
Interests: pervasive and mobile computing; IoT; cloud computing; distributed systems
Dr. Emanuel Peres

E-Mail Website
Guest Editor
Department of Engineering, School of Sciences and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
Interests: remote sensing; precision agriculture; in-field data processing; remote monitoring; UAV; UAS; precision forestry; sensors and data processing; human–computer interfaces; augmented reality; virtual reality; embedded systems
Special Issues, Collections and Topics in MDPI journals
Dr. Grzegorz Słowiński

E-Mail Website
Guest Editor
Faculty of Engineering, University of Technology and Economics, ul. Jagiellońska 82f, 03-301 Warsaw, Poland
Interests: machine learning

Special Issue Information

Dear Colleagues,

Cloud computing has become a point of reference in the implementation of highly complex applications that require massive data processing capacity and storage. The consolidation of high-speed and low-latency networks such as 5G, the Internet of Things (IoT) and the use of technologies based on Artificial Intelligence (AI) will increasingly transform societies and businesses, offering a new world of opportunities to redesign business support infrastructure and software solutions. This reality will decisively influence both business processes and people’s lives. Many regions, especially those that are more isolated and less developed, will be able to take advantage of this reality as a means to leverage their development and to easily connect to the globalized world. Indeed, these technologies are posed to have a significant impact in both social and economical activities, with particular importance in low-density regions. Some examples of applications are agriculture, smart cities, energy production and tourism, but also development opportunities, such as remote work and education.

This Special Issue aims to collect new developments, methodologies, algorithms, best practices, and applications in advanced networking and cloud computing. We welcome submissions that provide the community with the most recent advancements in all aspects of networking and cloud computing, in different areas of application.

Prof. Dr. Carlos Rompante Cunha
Dr. Emanuel Peres
Dr. Grzegorz Słowiński
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 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. Electronics 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

  • cloud computing
  • 5G
  • Internet of Things
  • advanced networking
  • regional development
  • smart cities
  • precision agriculture
  • tourism

Published Papers (1 paper)

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Research

33 pages, 21007 KiB  
Article
An Adaptive Layered Clustering Framework with Improved Genetic Algorithm for Solving Large-Scale Traveling Salesman Problems
by Haiyang Xu and Hengyou Lan
Electronics 2023, 12(7), 1681; https://doi.org/10.3390/electronics12071681 - 02 Apr 2023
Cited by 1 | Viewed by 1426
Abstract
Traveling salesman problems (TSPs) are well-known combinatorial optimization problems, and most existing algorithms are challenging for solving TSPs when their scale is large. To improve the efficiency of solving large-scale TSPs, this work presents a novel adaptive layered clustering framework with improved genetic [...] Read more.
Traveling salesman problems (TSPs) are well-known combinatorial optimization problems, and most existing algorithms are challenging for solving TSPs when their scale is large. To improve the efficiency of solving large-scale TSPs, this work presents a novel adaptive layered clustering framework with improved genetic algorithm (ALC_IGA). The primary idea behind ALC_IGA is to break down a large-scale problem into a series of small-scale problems. First, the k-means and improved genetic algorithm are used to segment the large-scale TSPs layer by layer and generate the initial solution. Then, the developed two phases simplified 2-opt algorithm is applied to further improve the quality of the initial solution. The analysis reveals that the computational complexity of the ALC_IGA is between O(nlogn) and O(n2). The results of numerical experiments on various TSP instances indicate that, in most situations, the ALC_IGA surpasses the compared two-layered and three-layered algorithms in convergence speed, stability, and solution quality. Specifically, with parallelization, the ALC_IGA can solve instances with 2×105 nodes within 0.15 h, 1.4×106 nodes within 1 h, and 2×106 nodes in three dimensions within 1.5 h. Full article
(This article belongs to the Special Issue Contributions of Advanced Networking and Cloud Computing to Leverage Regional Development)
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