Special Issue "Artificial Intelligence Empowered Internet of Things"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 30 November 2023 | Viewed by 712

Special Issue Editors

Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy
Interests: wireless sensor networks; intelligent transportation systems; Internet of things; green communications; fuzzy logic
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) connects things with things as well as people with things through a variety of information sensors, and builds a real-time updated heterogeneous database by collecting various kinds of data. In recent years, the power of artificial intelligence (AI) has been involved in the development of the Internet of Things. With its powerful analysis, learning and reasoning, it has met many practical needs, covering transportation, economic, social and other aspects. For example, digital twin systems of urban intelligent transportation helps to better manage urban traffic, and the intelligent factory deeply integrates information technology and manufacturing technology to provide enterprises with digital and intelligent functions.

Considering the high demand for efficiency and accuracy in practical applications, it is urgent to update and iterate terminal equipment, communication technology and intelligent algorithms. However, there are still many challenges in data collection, transmission, analysis, prediction and other stages of intelligent Internet of Things. Researchers focus on how to reduce communication costs and energy consumption, rationalize resource allocation and optimization, and improve algorithm accuracy and convergence speed. In addition, the heterogeneity and privacy of the data make it more difficult to implement practical applications.

This Special Issue aims to introduce the latest breakthroughs in theoretical research, technological innovation and practical application of the combination of AI techniques and IoT, as well as the prospects for its future development. The topics of interest include, but are not limited to, the following:

  • Sensor data anomaly detection;
  • Data collection and storage;
  • Missing data imputation;
  • AI and IoT big-data-analytics-based sensing techniques;
  • AI and IoT big-data-analytics-based communication techniques;
  • Resource management and task scheduling of computing power networks;
  • Data security and privacy protection;
  • Intelligent data analysis;
  • Interpretability for IoT big data analytics;
  • New development and combination with other advanced techniques, e.g., cloud computing, digital twins, etc.;
  • Relevant industry standards and platforms;
  • AI-empowered smart cities.

Prof. Dr. Xiangjie Kong
Dr. Giovanni Pau
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 2000 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
  • Internet of Things
  • big data analytics
  • sensor technology
  • network communication technology

Published Papers (1 paper)

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Research

Article
On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated Learning
Electronics 2023, 12(11), 2362; https://doi.org/10.3390/electronics12112362 - 23 May 2023
Viewed by 304
Abstract
In Hierarchical Federated Learning (HFL), opportunistic communication provides opportunities for node cooperation. In this work, we optimize the node cooperation strategy using opportunistic communization with the objective to minimize energy cost under the delay constraint. We design an online node cooperation strategy (OSRN) [...] Read more.
In Hierarchical Federated Learning (HFL), opportunistic communication provides opportunities for node cooperation. In this work, we optimize the node cooperation strategy using opportunistic communization with the objective to minimize energy cost under the delay constraint. We design an online node cooperation strategy (OSRN) based on the optimal stopping theory. Through theoretical analysis, we prove the NP-hardness of the problem investigated and the competition ratio that can be achieved by OSRN. We conduct thorough simulation experiments and find that the proposed algorithm outperforms the random selection algorithm SNNR with 22.04% reduction in energy cost. It is also observed that the energy cost can be reduced by 20.20% and 13.54%, respectively, compared with the existing methods CFL and THF. Full article
(This article belongs to the Special Issue Artificial Intelligence Empowered Internet of Things)
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