sensors-logo

Journal Browser

Journal Browser

Next-Generation Wireless Systems for the Internet of Things (IoT)—2nd Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (1 February 2025) | Viewed by 1051

Special Issue Editor

School of Computing, Gachon University, Seongnam 13120, Republic of Korea
Interests: vehicular networks; data center networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent advances in wireless and artificial intelligence (AI) technology in Internet of Things (IoT) systems have gained considerable interest in academia and industry. The topics of interest include, but are not limited to, the following.

Communication protocols for wireless technology in IoT systems:
  • Transport systems for IoT applications;
  • IoT applications using wearable devices;
  • Communication systems for cloud computing and IoT systems;
  • Next-generation networking;
  • Beyond 5G (B5G), 6G.
Artificial intelligence (AI) technologies for IoT systems:
  • Natural language processing (NLP);
  • Information retrieval, dialogue systems;
  • Multimodal deep learning;
  • Applications and deep learning model optimization for intelligent edge computing;
  • Biomedical signal processing and biomedical imaging for IoT systems;
  • Data privacy and data mining.
IoT protocols and wireless communication for smart grid systems:
  • IoT protocols for microgrid energy management systems;
  • Demand response with next-generation communication (5G, 6G);
  • AIoT (artificial intelligence IoT) for energy management systems in microgrids.

Dr. Joon Yoo
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. Sensors 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

  • Internet of Things
  • next-generation networking
  • beyond 5G (B5G)
  • 6G
  • artificial intelligence
  • transport protocols for wireless systems
  • natural language processing (NLP) for IoT systems
  • wireless communication for smart grid
  • IoT protocols for microgrid systems

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 policies can be found here.

Related Special Issue

Published Papers (1 paper)

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

Research

16 pages, 13461 KiB  
Article
Wi-Filter: WiFi-Assisted Frame Filtering on the Edge for Scalable and Resource-Efficient Video Analytics
by Lawrence Lubwama, Jungik Jang, Jisung Pyo, Joon Yoo and Jaehyuk Choi
Sensors 2025, 25(3), 701; https://doi.org/10.3390/s25030701 - 24 Jan 2025
Viewed by 736
Abstract
With the growing prevalence of large-scale intelligent surveillance camera systems, the burden on real-time video analytics pipelines has significantly increased due to continuous video transmission from numerous cameras. To mitigate this strain, recent approaches focus on filtering irrelevant video frames early in the [...] Read more.
With the growing prevalence of large-scale intelligent surveillance camera systems, the burden on real-time video analytics pipelines has significantly increased due to continuous video transmission from numerous cameras. To mitigate this strain, recent approaches focus on filtering irrelevant video frames early in the pipeline, at the camera or edge device level. In this paper, we propose Wi-Filter, an innovative filtering method that leverages Wi-Fi signals from wireless edge devices, such as Wi-Fi-enabled cameras, to optimize filtering decisions dynamically. Wi-Filter utilizes channel state information (CSI) readily available from these wireless cameras to detect human motion within the field of view, adjusting the filtering threshold accordingly. The motion-sensing models in Wi-Filter (Wi-Fi assisted Filter) are trained using a self-supervised approach, where CSI data are automatically annotated via synchronized camera feeds. We demonstrate the effectiveness of Wi-Filter through real-world experiments and prototype implementation. Wi-Filter achieves motion detection accuracy exceeding 97.2% and reduces false positive rates by up to 60% while maintaining a high detection rate, even in challenging environments, showing its potential to enhance the efficiency of video analytics pipelines. Full article
Show Figures

Figure 1

Back to TopTop