Transaction on Recent Developments in Industrial IoT

About the Journal

Transactions on Recent Developments in Industrial IoT

Scope:

The "Transactions on Recent Developments in Industrial IoT" is a peer-reviewed, interdisciplinary journal dedicated to advancing the knowledge and understanding of the rapidly evolving field of Industrial Internet of Things (IIoT). Our journal provides a platform for researchers, engineers, and practitioners to share their innovative contributions and insights, fostering collaboration and exploration in this dynamic domain.

Aims and Objectives:

1. Cutting-Edge Research: Our journal aims to showcase the latest research, innovations, and developments in the field of Industrial IoT. We are committed to promoting original and high-quality research that pushes the boundaries of knowledge in IIoT.

2. Interdisciplinary Approach: IIoT is inherently multidisciplinary, combining elements of IoT, data science, industrial automation, and more. We welcome contributions from a wide range of disciplines, encouraging cross-pollination of ideas and expertise.

3. Practical Applications: We are dedicated to bridging the gap between theoretical research and real-world applications. Our journal seeks contributions that have the potential to drive meaningful advancements in industrial processes, automation, and smart manufacturing.

4. Industry Partnerships: We actively encourage collaboration between academia and industry. Our goal is to facilitate the exchange of ideas, best practices, and industry insights, ultimately fostering innovation and technological advancements in the industrial sector.

Key Topics and Areas of Interest:

The "Transactions on Recent Developments in Industrial IoT" covers a broad spectrum of topics, including but not limited to:

• IoT-based Industrial Automation
• Cyber-Physical Systems (CPS)
• Smart Manufacturing and Industry 4.0
• Industrial Data Analytics
• IoT Security and Privacy in Industrial Contexts
• Wireless Sensor Networks for Industrial Applications
• Edge and Fog Computing in IIoT
• AI and Machine Learning for Industrial Predictive Maintenance
• Cloud-Based IIoT Solutions
• Industrial Communication Protocols and Standards
• Supply Chain Optimization with IIoT
• Energy Efficiency and Sustainability in Industrial Processes
• Case Studies and Practical Implementations

Publication Format:

The journal publishes research articles, reviews, case studies, and technical notes. We encourage authors to provide practical insights and real-world use cases to make the research more applicable to industry professionals.

Review Process:

All submissions undergo a rigorous peer-review process, ensuring that published articles meet high standards of quality, originality, and relevance.

Audience:

Our primary audience includes researchers, academics, industry professionals, and policymakers interested in the latest developments and innovations in Industrial IoT. We aim to provide a platform for knowledge exchange and collaboration among these key stakeholders.

Publication Frequency:

The journal is published on a quarterly basis, providing readers with a regular influx of the latest research and developments in the field.

Join us in exploring the exciting world of Industrial IoT, where the digital and physical realms converge to reshape industrial processes, enhance efficiency, and drive innovation.

TRDAIoT is a double-blind peer-reviewed journal  indexed in several  databases like google scholar, Wos, Dooj, EI