Discover Internet of Things' 5th Anniversary - Hear from the Editor-in-Chief

As we celebrate the 5th anniversary of the journal, we are pleased to share insights from the Editor-in-Chief.
Discover Internet of Things' 5th Anniversary - Hear from the Editor-in-Chief
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This post is part of the “Celebrating Five Years of the Discover Journals” series, highlighting Discover journals and the people who have played a key role in shaping their development. The series aims to spotlight the leadership, values, and vibrant communities behind the journals. 


Discover Internet of Things, launched in 2021, is an open access journal publishing research across all fields relevant to the Internet of Things (IoT), providing cutting-edge findings to researchers, academicians, students, and engineers. 

  • Indexed in DOAJ, Ei Compendex and Scopus with a CiteScore 2025 of 6.9. 
  • Publishing research at the component and system level as well as programming and software. 
  • A journal in Springer Nature’s Discover Series: Rigorous, representative and wide-reaching. 

As we celebrate five years of the journal, we are delighted to share insights from the Editor-in-Chief: Prof. Ishfaq Ahmad 

“I conceived and joined Discover IoT as the founding editor-in-chief (EIC). The three notable changes since the inception of this journal are: The AI revolution, the global research competition, and the staggering amount of IoT-related research output.   

Discover IoT will continue to improve the quality of its publications, secure additional indexing, maintain its integrity and fairness, and provide excellent customer service. My proudest moment as EIC has yet to come, as I continue to raise my own high expectations. However, I feel a great deal of satisfaction with this journal's success, as it has established itself as a quintessence entity in the publishing arena. I am very grateful to the excellent Springer Nature management, the journal staff, the editorial board members, the reviewers, the authors, and the readers.” 

Please stay tuned for more posts from our anniversary celebrations! 

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Technology and Engineering > Electrical and Electronic Engineering > Communications Engineering, Networks > Internet of Things
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Mathematics and Computing > Computer Science > Computer Engineering and Networks > Internet of Things

Related Collections

With Collections, you can get published faster and increase your visibility.

Blockchain, Differential Privacy, and Federated Intelligence for Secure Internet of Things Systems

The Internet of Things (IoT) has revolutionised modern society by connecting billions of devices across various sectors, including smart homes, healthcare, transportation, and industrial systems. However, this connectivity introduces critical security and privacy challenges. This Topical Collection focuses on three transformative technologies—blockchain, differential privacy, and federated intelligence—that address these challenges.

Blockchain provides decentralized, tamper-proof infrastructures for IoT data integrity and device authentication. Differential privacy offers mathematically rigorous privacy guarantees for IoT data analytics while preserving utility. Federated intelligence enables collaborative machine learning across IoT devices without requiring centralization of sensitive data.

This collection aims to showcase cutting-edge research that integrates these technologies, addresses implementation challenges such as energy efficiency and scalability, and explores real-world applications in smart cities, Industrial IoT, healthcare, and vehicular networks. It will serve as a comprehensive resource for researchers and practitioners developing secure, privacy-preserving IoT ecosystems.

This Collection supports and amplifies research related to SDG3, SDG 9 and SDG11.

Keywords: Blockchain for IoT; Differential Privacy; Federated Learning; IoT Security; Privacy-Preserving IoT; Distributed Ledger Technology; Edge Intelligence; Secure Smart Systems; Federated Intelligence; IoT Data Privacy

Publishing Model: Open Access

Deadline: Dec 09, 2026

Emerging Frontiers in Technological Integration for Health, Agriculture, and Urban Sustainability

The goal of this Topical Collection is to investigate the novel ways that the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), cyber-physical systems, CPS, smart cities, 5G, and Internet of Vehicles (IoV) can be used to address problems and promote sustainable development in the fields of urban sustainability, health, and agriculture. The aim of this showcase is to provide innovative research, techniques, and case studies that illustrate how technology integration can significantly improve human well-being, food security, and environmental sustainability.

This Topical Collection is significant because it has the potential to further research, spur innovation, and motivate action in support of sustainable development objectives. This Topical Collection can accelerate the integration of diverse developing technologies and their applications for smart cities by uniting interdisciplinary viewpoints and presenting best practices. Sub-themes or topics mapping to the scope of the Topical Collection proposal include but are not limited to the following:

• 5G and IoT Integration and Interoperability and Standards in IoT

• Agri-Tech Solutions for Sustainable Agriculture & Precision Agriculture

• AI and Machine Learning in Cyber-Physical Systems

• AI Enabled Smart Health Solutions

• Blockchain for IoT Security and Trust

• Edge Computing in IoT Systems

• Health and Wellness in Urban Environments

• Intelligent Transportation Systems using Internet of Vehicles (IoVs) and Vehicular Networks

• IoT and AI based Smart Home Innovations for Health and Comfort

• IoT and AI Enabled Smart City Infrastructure and Urban Development

• Medical Technology Advancements Using IoT and AI

• Pervasive and Ubiquitous Computing

• Security and Privacy in IoT Networks

• Sensors and Devices for IoT and CPS

• Smart Environmental Monitoring and Conservation using IoT sensors, satellite imagery, and data analytics

• Sports Science and Performance Enhancement using Data Analytics and AI

• Virtual Reality, Augmented Reality and Mixed Reality in Industry

Keywords:

Internet of Things (IoT); Artificial Intelligence (AI); Emerging Technologies; Smart Cities; Cyber Physical Systems

Publishing Model: Open Access

Deadline: Sep 30, 2026