Aims and scope

Discover Internet of Things is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is an open access, community-focussed journal publishing research from across all fields relevant to the Internet of Things (IoT), providing cutting-edge and state-of-art research findings to researchers, academicians, students, and engineers.

Discover Internet of Things is a broad, open access journal publishing research from across all fields relevant to IoT. Discover Internet of Things covers concepts at the component, hardware, and system level as well as programming, operating systems, software, applications and other technology-oriented research topics. The journal is uniquely interdisciplinary because its scope spans several research communities, ranging from computer systems to communication, optimisation, big data analytics, and application. It is also intended that articles published in Discover Internet of Things may help to support and accelerate Sustainable Development Goal 9: ‘Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation’.

Discover Internet of Things welcomes all observational, experimental, theoretical, analytical, mathematical modelling, data-driven, and applied approaches that advance the study of all aspects of IoT research.

Discover Internet of Things covers topics in the following six main areas:

IoT Systems

  • Systems Design and Architecture
  • Software Architecture and Middleware
  • Performance Evaluation and Modelling
  • Networking and Communication Protocols
  • System Design and Implementation
  • Machine-to-Machine and Human-Machine Interface
  • Cloud/Fog/Edge servers and networks
  • Smart Power Grid and Energy–Efficient IoT Systems
  • IoT Models for Collective Optimization of Power and Performance
  • Configurable and Embedded systems
  • Cyber-Physical systems
  • Next Generation and Self-Organizing Networks

IoT Devices

  • Sensors design for IoT
  • 3D Printing
  • Biotechnology
  • Devices for Communication
  • Micro and Nano Devices and Robots
  • Wearable Devices
  • Electronic, Logic, Robotic, Platforms and Applications
  • Embedded systems, ASICs and FPGAs
  • CPU and GPU Application in IoT Environment
  • Smart Meters

Security and Privacy in IoT

  • Encryption
  • Firewall, Access control, Identity Management
  • Large-scale simulations in the Cloud, Big Data and Internet of Things
  • Intrusion and Detection Techniques
  • Security Modelling, Business Process Modelling and Analytics
  • Ethics, Trust and Privacy
  • Data Security, Data Recovery, Disaster Recovery
  • Organizational Security
  • E-Commerce and online Banking
  • Social Network Analysis for Threat Detection
  • Education and e-Learning

IoT-enabled AI

  • Smart City Environments and Infrastructures
  • Smart Health, Informatics, and Medical Services
  • Shaping Experiences, Services and Training to Individual
  • Predictive Capabilities in Industrial and Manufacturing Applications
  • Intelligent Data and Knowledge Management
  • Smart City Environments and Infrastructures
  • Real-Time Supervised, Unsupervised and reinforced learning
  • Block chains
  • AI-enabled Smart home
  • Smart energy consumption and power management
  • Machine learning based autonomous devices

IoT Analytics

  • Data Analysis and Visualization for IoT Environments
  • Big Data as a Service (BDaaS) including Frameworks, and Processing Techniques
  • Big Data Algorithm, Methodology, Business Models and Challenges
  • Financial Software as a Service (FSaaS) including Risk and Pricing Analysis
  • Education as a Service (EaaS) including e-Learning and Educational Applications
  • Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT
  • Natural Science as a Service (NSaaS) including Weather Forecasting and Data Visualization
  • Gaming as a Service (GaaS)
  • Analytics as a Service (AaaS) for any Types of Analytics
  • Middleware and Agents for IoT and Big Data, Grid and Cluster Computing
  • Integration as a Service (data; service; business; federated IoT and Big Data)
  • Social Networks and Analytics
  • e-Government, e-Commerce, e-Science and Creative Technologies for IoT and Big Data

Applications of IoT

  • Green and Sustainable Systems
  • Cloud/Fog/Edge and other Mobile Services
  • Intelligent Transportation Systems and Traffic Modelling
  • Pattern and Behavioral Analysis for Vehicles, Green Systems and Smart Cities
  • Individualized Education, Training, and Learning
  • DNA Sequencing, Organ Simulations and Processing
  • Virtual Reality Applications and Games
  • Assistive Technologies
  • Business, Finance and Management
  • Energy, Environment and Natural Science Applications
  • Social Networks Analysis, Media and e-Government
  • Earth Science Simulation and Processing
  • Biomedical Experiments and Simulations

Content Types

Discover Internet of Things welcomes Research, Reviews, Perspectives, Comments, Brief Communications, Case Studies, Registered Reports, and Data Notes from across the full range of disciplines concerned with IoT research. The journal also publishes guest edited Topical Collections of relevance to all aspects of IoT research to allow readers to quickly identify research on subject areas of especial interest to them.

In addition to specific th emed Collections reflecting the latest developments in IoT research, the Journal focuses on three types of contributions: forward looking and/or speculative pieces that may be opinionated but should remain balanced and are intended to stimulate discussion and explore new approaches, rapid publication of early research results, and case studies/examples of how novel research has been followed through to implementation.