Real-Time Embedded Systems for IoT

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

Deadline for manuscript submissions: closed (15 March 2025) | Viewed by 700

Special Issue Editors


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Guest Editor
1. Department of Electronic and Communication Engineering, Yanbian University, Yanji 133002, China
2. Computer Engineering Department, Jeju National University, Jeju 63243, Republic of Korea
Interests: internet of things; edge computing; digital twin; blockchain; artificial intelligence; on-device AI; federated learning; swarm learning; swarm intelligence
Special Issues, Collections and Topics in MDPI journals
Department of Electronic and Communication Engineering, Engineering College, Yanbian University, Yanji 133002, China
Interests: wireless sensor network; internet of things; underwater cognitive acoustic networks; underwater acoustic modem; underwater data transmission; multiple access underwater communication

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is an emerging paradigm that inspires industries to develop intelligent and autonomous systems. In the IoT systems, various technologies such as artificial intelligence (AI), blockchain, digital twin (DT), etc., are integrated to provide secure, efficient, and seamless IoT services. However, there are many challenges that come with the limitations of computing and network resources. Also, the heterogenous IoT protocols and platforms increase the difficulty of IoT system development. Novel solutions need to overcome the limitations and heterogeneity in the IoT environment.

Contributions from all fields related to IoT are welcome in this Special Issue, particularly those covering the following topics:

  • Theory, applications, case studies, and project reports related to emerging IoT standard protocols, frameworks, and platforms;
  • Efficient computing, network, and security solutions in IoT, wireless sensor networks, and vehicle networks;
  • IoT and edge computing solutions in smart spaces such as homes, buildings, factories, farms, and cities;
  • Real-time inference and prediction approaches in the IoT edge environment.

Dr. Wenquan Jin
Dr. Yihu Xu
Guest Editors

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Keywords

  • internet of things
  • edge computing
  • wireless sensor network
  • vehicle network
  • edge intelligence
  • swarm intelligence
  • on-device AI

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Published Papers (1 paper)

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Review

29 pages, 3536 KiB  
Review
The Integration of AI and IoT in Marketing: A Systematic Literature Review
by Albérico Travassos Rosário and Ricardo Jorge Raimundo
Electronics 2025, 14(9), 1854; https://doi.org/10.3390/electronics14091854 - 1 May 2025
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Abstract
This systematic literature review investigates the integration of artificial intelligence (AI) and the Internet of Things (IoT) in marketing, with a focus on their application in enhancing consumer engagement, personalization, and strategic decision-making. Using the Scopus database and a refined keyword search strategy, [...] Read more.
This systematic literature review investigates the integration of artificial intelligence (AI) and the Internet of Things (IoT) in marketing, with a focus on their application in enhancing consumer engagement, personalization, and strategic decision-making. Using the Scopus database and a refined keyword search strategy, the study identified 223,671 initial records, which were narrowed down to 121 peer-reviewed academic articles after applying strict inclusion and exclusion criteria. Thematic analysis revealed that foundational technologies—such as machine learning, big data, and deep learning—dominate the field, while marketing strategy, decision systems, and customer experience emerge as central application areas. Co-citation and keyword network analyses indicate a technocentric and interdisciplinary knowledge structure, but also expose significant gaps in research related to ethics, regulation, consumer trust, and small business contexts. The review highlights opportunities for future research in underexplored areas such as sentiment analysis, sustainability, and human–AI interaction. For practitioners, the findings underscore the strategic importance of AI and IoT in driving personalized, data-driven marketing, while emphasizing the need for ethical transparency and regulatory alignment. Limitations include reliance on a single database, potential exclusion of relevant studies due to keyword constraints, and a focus on peer-reviewed journal articles only. This review addresses key gaps in the literature by offering a focused synthesis of current research and proposing directions for more balanced and responsible innovation in AI-enabled marketing. Full article
(This article belongs to the Special Issue Real-Time Embedded Systems for IoT)
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