Mathematical and Statistical Model, Algorithms and Applications for Intelligent Computing

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 631

Special Issue Editor


E-Mail Website
Guest Editor
School of Electronics and Information Engineering, Harbin Institute of Technology, Shenzhen 518055, China
Interests: crowd computing; edge computing; game theory; incentive mechanism; deep reinforcement learning; federated learning

Special Issue Information

Dear Colleagues,

The focus of this Special Issue is Mathematical and Statistical Models, Algorithms and Applications for Intelligent Computing. We welcome contributions concerning artificial intelligence, big data analysis, and machine learning, as well as the topics detailed below. We especially encourage interdisciplinary research works between AI (artificial intelligence) and ICT (information and communications technology), such as cloud computing, edge computing, crowd computing, 6G, Internet-of-Things (IoT), and computing power network.

This Special Issue seeks submissions including, but not limited to, those in applied data science with potential applications in ICT and an emphasis in the following areas (in alphabetical order):

(i) Artificial intelligence.

(ii) Big data analysis (e.g., COVID-19 pandemic-related data, massive IoT data, etc.).

(iii) Machine learning (supervised/unsupervised learning, deep learning, reinforcement learning, federated learning, etc.).

(iv) Game-theoretic analysis for AI, big data, and machine learning.

(v) Incentive mechanism design for AI, big data, and machine learning.

(vi) Intelligent cloud/edge/crowd computing for 6G and IoT.

(vii) Edge and crowd intelligence in 6G an IoT.

(viii) AI-enabled applications for 6G and IoT.

Dr. Lin Gao
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. Mathematics 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 2600 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

  • artificial intelligence
  • big data
  • machine learning
  • game theory
  • incentive mechanism
  • 6G
  • Internet-of-Things

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 1494 KiB  
Article
Networking Microcontrollers and Balancing the Load on the Service Servers to Enhance the Fault Tolerance of the IoT Networks
by Sastry Kodanda Rama Jammalamadaka, Bhupati Chokra, Sasi Bhanu Jammalamadaka and Balakrishna Kamesh Duvvuri
Mathematics 2024, 12(23), 3730; https://doi.org/10.3390/math12233730 - 27 Nov 2024
Viewed by 401
Abstract
Different types of faults occur in different layers of IoT networks, which affect their fault tolerance. The Controller and Services layers are the weakest links in an IoT network, and any failure in these layers drastically reduces its fault tolerance. The flow of [...] Read more.
Different types of faults occur in different layers of IoT networks, which affect their fault tolerance. The Controller and Services layers are the weakest links in an IoT network, and any failure in these layers drastically reduces its fault tolerance. The flow of transactions in these layers is also very heavy, requiring load balancing. The major challenge is to retain the maximum Fault tolerance of the IoT network in the presence of failures and varying load conditions in these Layers. This paper proposes a combination of Embedded system networking and a specialised networking of microcontrollers with Service Servers, and a Middleware within the Microcontrollers for load-balancing transactions in different communication paths. These implementations help retain the highest fault tolerance of the IoT network. The fault tolerance of an IoT is improved by 8% due to these proposed implementations. Full article
Show Figures

Figure 1

Back to TopTop