Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.6
Journals
Electronics
Special Issues
Advances in Wireless Communication for loT
share announcement

Advances in Wireless Communication for loT

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 4061

Special Issue Editors

Dr. Ying Wang

E-Mail Website
Guest Editor
School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ 07030, USA
Interests: IoT; cybersecurity; wireless communication; AI-based data-driven 5G
Dr. Marcos M. Vasconcelos

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Florida State University, Tallahassee, FL 32310, USA
Interests: network systems; cyber-physical systems; game theory; distributed estimation; control and optimization
Dr. Sudhanshu Arya

E-Mail Website
Guest Editor
1. School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ 07030, USA
2. Department of Communication Engineering, School of Electronics, Vellore Institute of Technology, Vellore 632014, India
Interests: wireless communications; optical signal processing; cyber security; machine learning

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) has become a transformative force across a multitude of sectors, including healthcare, agriculture, smart cities, and industrial automation. At the core of IoT systems is wireless communication technology, which facilitates seamless connectivity and interaction among billions of devices worldwide. This Special Issue aims to explore the latest advancements, challenges, and future directions in wireless communication for IoT, with a particular emphasis on the SWaP (Size, Weight, and Power) considerations that are crucial for deploying efficient and sustainable IoT solutions. Moreover, we seek to examine the critical role of security in extreme situations, such as natural disasters, high-density environments, and scenarios requiring robust and fail-safe communication systems. Additionally, this issue will delve into the potential of IoT within Space–Air–Ground Integrated Networks (SAGINs), underscoring how such integrations can amplify the coverage, reliability, and performance of IoT services across diverse and challenging environments. We invite researchers, academics, and industry practitioners to contribute original research articles, review articles, and technical reports that advance the field of wireless IoT communications, taking into account SWaP optimizations, security in extreme conditions, and the innovative integration of IoT in SAGIN communications.

This call welcomes submissions on a wide array of topics pertinent to wireless communication for IoT, including (but not limited to) the following:

  • Advances in IoT wireless communication protocols (e.g., LoRaWAN, NB-IoT, Zigbee, Bluetooth 5, 5G/6G technologies);
  • Energy-efficient and low-power wireless communication technologies for IoT devices, with a focus on SWaP constraints;
  • Security and privacy challenges in IoT wireless communications, particularly in extreme situations requiring resilient and robust solutions;
  • Machine learning and AI applications in optimizing IoT wireless communication;
  • Integration of IoT devices with existing wireless networks (e.g., WLAN, cellular networks) and SAGIN communications;
  • Novel applications and case studies of wireless IoT in sectors such as healthcare, agriculture, smart cities, and manufacturing, emphasizing SWaP optimization and security in extreme conditions;
  • Interoperability and standardization efforts in IoT wireless communications;
  • Scalability and management of large-scale wireless IoT networks;
  • Performance evaluation and modeling of wireless communication systems for IoT;
  • Emerging trends and technologies in IoT wireless communication, including IoT's potential in SAGIN for enhanced connectivity and services.

Dr. Ying Wang
Dr. Marcos M. Vasconcelos
Dr. Sudhanshu Arya
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

  • Internet of Things (IoT) wireless communication
  • SWaP (size, weight, and power)
  • IoT security and privacy
  • space–air–ground integrated networks (SAGIN)
  • energy efficiency in IoT devices
  • 5G/6G technologies for IoT

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.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

13 pages, 808 KiB  
Article
Enhanced Anomaly Detection in IoT Through Transformer-Based Adversarial Perturbations Model
by Saher Zia, Nargis Bibi, Samah Alhazmi, Nazeer Muhammad and Afnan Alhazmi
Electronics 2025, 14(6), 1094; https://doi.org/10.3390/electronics14061094 - 10 Mar 2025
Viewed by 860
Abstract
Ensuring data security in IoT systems requires effective anomaly detection, particularly in multivariate time series data generated by sensor networks. This study introduces a transformer-based method to detect anomalies by capturing complex temporal patterns and long-range dependencies. The model adapts to diverse anomaly [...] Read more.
Ensuring data security in IoT systems requires effective anomaly detection, particularly in multivariate time series data generated by sensor networks. This study introduces a transformer-based method to detect anomalies by capturing complex temporal patterns and long-range dependencies. The model adapts to diverse anomaly types across datasets, leveraging adversarial perturbations to enhance robustness and accuracy. Integration of the Streaming Peaks Over Threshold (SPOT) mechanism further improves thresholding. Experiments on MSL, SMD, NAB, and SWaT datasets validate the model’s effectiveness, demonstrating its competitive performance in strengthening IoT systems and ensuring data security in dynamic environments. Full article
(This article belongs to the Special Issue Advances in Wireless Communication for loT)
►▼ Show Figures

Figure 1

20 pages, 9922 KiB  
Article
Design of a Real-Time Monitoring System for Electroencephalogram and Electromyography Signals in Cerebral Palsy Rehabilitation via Wearable Devices
by Anshi Xiong, Tao Wu and Jingtao Jia
Electronics 2024, 13(15), 2902; https://doi.org/10.3390/electronics13152902 - 23 Jul 2024
Cited by 1 | Viewed by 1814
Abstract
Cerebral palsy is a disorder of central motor and postural development, resulting in limited mobility. Cerebral palsy is often accompanied by cognitive impairment and abnormal behavior, significantly impacting individuals and society. Time, energy, and economic investment in the rehabilitation process is substantial, yet [...] Read more.
Cerebral palsy is a disorder of central motor and postural development, resulting in limited mobility. Cerebral palsy is often accompanied by cognitive impairment and abnormal behavior, significantly impacting individuals and society. Time, energy, and economic investment in the rehabilitation process is substantial, yet the rehabilitation outcomes often remain unsatisfactory. Additionally, some patients have limited sensory perception during rehabilitation training, making it challenging to effectively regulate exercise intensity. Traditional evaluation methods are mostly based on recovery performance, lack guidance at the neurophysiological level, and have an unequal distribution of medical rehabilitation resources, which pose great challenges to the rehabilitation of patients. Based on the issues mentioned above, this paper proposes a real-time cerebral signal monitoring system based on wearable devices. This system can monitor and store blood oxygen, heart rate, myoelectric, and EEG signals during cerebral palsy rehabilitation, and it can track and monitor signals during the rehabilitation treatment process. The system includes two parts: hardware design and software design. The hardware design includes a data signal acquisition module, a main control chip (ESP32), a muscle electrical sensor module, a brain electrical sensor module, a blood/heart rate acquisition module, etc. It is primarily for real-time signal data acquisition, processing, and uploading to the cloud server. The software design includes functions such as data receiving, data processing, data storage, network configuration, and remote communication and enables the visual monitoring of data signals. The system can achieve real-time monitoring of electromyography, electroencephalography, and blood oxygen levels, as well as the heart rate of patients with cerebral palsy, and adjust rehabilitation training in real-time during the rehabilitation process. At the same time, based on the real-time storage of the original electromyography and electroencephalography data, it can provide auxiliary guidance for later rehabilitation evaluation and effective data support for the entire rehabilitation treatment process. Full article
(This article belongs to the Special Issue Advances in Wireless Communication for loT)
►▼ Show Figures

Figure 1

12 pages, 4731 KiB  
Article
High-Capacity Multiple-Input Multiple-Output Communication for Internet-of-Things Applications Using 3D Steering Nolen Beamforming Array
by Hanxiang Zhang, Hao Yan, Powei Liu, Saeed Zolfaghary Pour and Bayaner Arigong
Electronics 2024, 13(13), 2452; https://doi.org/10.3390/electronics13132452 - 22 Jun 2024
Cited by 1 | Viewed by 1033
Abstract
In this paper, a novel 2D Nolen beamforming phased array with 3D scanning capability to achieve high channel capacity is presented for multiple-input multiple-output (MIMO) Internet-of-Things (IoT) applications. The proposed 2D beamforming phased array is designed by stacking a fundamental building block consisting [...] Read more.
In this paper, a novel 2D Nolen beamforming phased array with 3D scanning capability to achieve high channel capacity is presented for multiple-input multiple-output (MIMO) Internet-of-Things (IoT) applications. The proposed 2D beamforming phased array is designed by stacking a fundamental building block consisting of a 3 × 3 tunable Nolen matrix, which applies a small number of phase shifters with a small tunning range and reduces the complexity of the beam-steering control mechanism. Each 3 × 3 tunable Nolen matrix can achieve a full 360° range of progressive phase delay by exciting all three input ports, and nine individual radiation beams can be generated and continuously steered on azimuth and elevation planes by stacking up three tunable Nolen matrix in horizontal and three in vertical to maximize signal-to-noise ratio (SNR) in the corresponding spatial directions. To validate the proposed design, the simulations have been conducted on the circuit network and assessed in a fading channel environment. The simulation results agree well with the theoretical analysis, which demonstrates the capability of the proposed 2D Nolen beamforming phased array to realize high channel capacity in MIMO-enabled IoT communications. Full article
(This article belongs to the Special Issue Advances in Wireless Communication for loT)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop