The Internet of Things Magazine (IoTM) publishes peer-reviewed papers on end-to-end IoT solutions. IoTM papers are written by and for practitioners and researchers interested in practice and applications, such as corporate engineers working to design and deploy IoT applications every day. The technical focus of IoTM is the multi-disciplinary, systems nature of IoT solutions.

Special Issue on Applications of Large Language Models in Internet of Things
Día de Entrega: 2024-11-30

Large Language Models (LLMs) with their advanced natural language processing capabilities, offer numerous benefits, such as improved user interaction, enhanced data analysis, and context-aware services. The integration of LLMs and 6G telecom networks into the Internet of Things (IoT) represents a significant advancement in enhancing the intelligence and interactivity of IoT systems. The LLMs can understand and process complex human language, making IoT devices more user-friendly and capable of responding intelligently to voice commands and text inputs. The applications of LLMs to IoT are vast and varied. LLMs can be employed in smart homes for voice-activated control and personalized user experiences, in industrial IoT for predictive maintenance, anomaly detection and report analysis, and in healthcare IoT for patient monitoring and real-time data analysis. Additionally, LLMs can enhance customer service through intelligent chatbots and virtual assistants, providing timely and contextually relevant information to users. As IoT continues to evolve, the integration of LLMs will play a crucial role in driving innovation and delivering smarter, more responsive, and efficient IoT solutions.

Integrating LLMs into IoT involves several challenges, including the significant computational power and energy consumption required by LLMs, which can strain the limited resources of IoT devices. Real-time processing demands pose latency issues, especially when balancing edge and cloud computing. Ensuring data privacy and security is critical, given the sensitive nature of IoT data and the vulnerability of LLMs to adversarial attacks. Scalability in deployment and maintenance, along with ensuring compatibility and integration across diverse IoT platforms adds complexity. The high costs of implementation and ongoing operations further complicate the integration. Additionally, this Special Issue (SI) aims to optimize model efficiency without sacrificing performance, ensure reliable and accurate responses, and design user-friendly interfaces, which are essential for a positive user experience. Addressing these challenges requires advancements in AI, hardware, software, and cybersecurity to unlock the full potential of LLM-enhanced IoT systems.

Topics of Interest

Topics of primary interest include, but are not limited to, the following scopes:

    Optimizations for reducing the computational and memory footprint of LLMs training, fine-tuning, and inference in resource-constrained IoT environment.
    Optimizations for deploying LLMs on edge-cloud devices to reduce inference latency and improve real-time processing capabilities in IoT applications.
    Optimizations for reducing the energy consumption of LLMs in IoT environment.
    Optimizations of LLM systems and algorithms to meet the real-time processing requirements of IoT applications.
    Efficient and low-cost hardware design to accelerate LLM computation in IoT systems.
    Principles and user interface design to provide a seamless and intuitive user experience.
    Privacy and Security for safeguarding sensitive IoT data and ensuring the secure deployment and operation of LLMs.
    Standards and protocols to ensure seamless integration and interoperability/portability of LLMs with diverse IoT platforms and devices.
    Practical testbeds, datasets, and use cases of integrating LLMs in IoT applications.
    Wide-scale experimentation and performance scalability of LLM-enhanced IoT solutions.

Submission Guidelines

Manuscripts should conform to the IEEE Internet of Things Magazine standard format as indicated in the Information for Authors section of the Article Submission Guidelines. All manuscripts to be considered for publication must be submitted by the deadline through the magazine’s IEEE Author Portal site. Select the appropriate issue date and topic from the “Please Select an Article Type” drop-down menu.

Important Dates

Manuscript Submission Deadline: 30 November 2024
Initial Decision Date: 31 January 2025
Revised Manuscript Due: 10 March 2025
Final Decision Date: 10 April 2025
Final Manuscript Due: 20 May 2025
Publication Date: Third Quarter 2025

Guest Editors

Gang Sun (Lead Guest Editor)
University of Electronic Science and Technology of China, China

Dusit Niyato
Nanyang Technological University, Singapore

Jiacheng Wang
Nanyang Technological University, Singapore

Nelson Fonseca
University of Campinas, Brazil

Paolo Bellavista
University of Bologna, Italy

Shu-ping Yeh
Research Lab at Intel, USA

Special Issue on Empowering People with Disabilities using IoT and Human-Centered Technologies
Día de Entrega: 2024-12-15

The World Health Organization estimates that 1.3 billion people, which represents about 16% of the global population, are presently living with some form of disability. Sadly, these individuals are also at higher risk of discrimination, poverty, social exclusion, violence, and abuse. Thankfully, global initiatives are rising to this challenge. The United Nations has set a target to foster social, economic, and political inclusion for all by 2030, regardless of factors such as disability. Similarly, the European Commission’s Strategy for the Rights of Persons with Disabilities 2021-2030 seeks to achieve the full participation and non-discrimination of people with disabilities in society.

To face these challenges and ensure a welcoming and accessible society for everyone, investing in human-centered technologies is paramount. The Internet of Things (IoT) offers transformative potential for empowering individuals with disabilities. Technologies designed with the active input from IoT sensors and engagement of disabled communities can lead to the creation of Human-centered solutions that are inclusive and adaptive to various needs. For instance, IoT can enhance physical environments to be more accessible through smart home systems that allow for voice-activated or remotely controlled management of appliances, doors, and lighting, reducing physical barriers. Wearable IoT devices can also aid in real-time health monitoring and emergency response, ensuring that people with disabilities receive timely medical attention when necessary. Furthermore, IoT can facilitate better communication and interaction with technology via customized interfaces that adapt to the physical and sensory capabilities of users, such as gesture recognition systems for those unable to use traditional input devices.

Through a human-centered strategy and investments in IoT devices within everyday objects and environments, we can significantly enhance the independence and quality of life for people with disabilities, creating a more inclusive society. This approach unlocks innovative solutions for collaborative environments, empowering individuals with disabilities to promote their rights and opportunities. Ultimately, by embracing this transformative approach, we tap into the varied talents and contributions of every member, leading to increased stability, balance, and sustainability for all.

This Special Issue (SI) aims to bring together researchers, policymakers, and industry professionals to contribute their ideas and work on the topic of empowering people with disabilities through IoT and human-centered technologies. Subtopics of interest include, but are not limited to:

    Sensor technology and computer processing algorithms, to improve safety, mobility, communication, and activities of daily living, etc.
    Tracking technologies and wearable IoT devices, to enhance data collection processes and improve the quality of life for individuals with disabilities.
    Accessible human-machine interfaces, featuring voice-controlled interfaces, alternative control devices, and adaptive user interfaces that learn and adapt to individual needs.
    Studies on the social implications of implementing IoT and human-centered technologies for individuals with disabilities.
    Real-world case studies and applications of human-centered communication technologies.
    Cloud-based technologies for telehealth, remote care, collaborative learning, and working platforms.
    Human-robot collaboration into healthcare, education, and workplaces for assistive and caregiving roles.
    Use digital twins to simulate accessibility in the design of buildings, spaces, and products.

Researchers are invited to publish their experimental and theoretical results in detail. Submissions should align with the outlined topics and seek to spark meaningful discussions on the role of technology in fostering a more inclusive society.
Submission Guidelines

Manuscripts should conform to the IEEE Internet of Things Magazine standard format as indicated in the Information for Authors section of the Article Submission Guidelines. All manuscripts to be considered for publication must be submitted by the deadline through the magazine’s IEEE Author Portal site. Select the appropriate issue date and topic from the “Please Select an Article Type” drop-down menu.

Important Dates

Manuscript Submissions Start: 1 August 2024
Manuscript Submission Deadline: 15 December 2024
First Round of Review Deadline: 31 January 2025
Authors’ Revision Deadline: 14 February 2025
Final Decision Notification: 28 February 2025
Final Manuscript Submission Deadline: 7 March 2025
Publication Date: May 2025

Guest Editors

Nagham Saeed (Lead Guest Editor)
School of Computing and Engineering, University of West London, UK

Carolina Lagartinho Oliveira
NOVA School of Science and Technology, NOVA University Lisbon, Portugal

Abdellah Chehri
Royal Military College of Canada, Canada

Gwanggil Jeon
Incheon National University, South Korea