Internet of Things

Scope & Guideline

Charting New Territories in IoT Research

Introduction

Immerse yourself in the scholarly insights of Internet of Things with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2543-1536
PublisherELSEVIER
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationINTERNET THINGS-NETH / Internet Things
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Internet of Things' focuses on the interdisciplinary aspects of IoT, addressing the integration of hardware, software, and services to enhance connectivity and automation across various sectors. Its scope encompasses innovative solutions, applications, and methodologies that leverage IoT technologies for improved efficiency, security, and sustainability.
  1. Interdisciplinary Research in IoT:
    The journal publishes research that spans various fields including computer science, engineering, healthcare, agriculture, and smart cities, reflecting the diverse applications of IoT technologies.
  2. Security and Privacy Solutions:
    A significant focus is on developing robust security frameworks and privacy-preserving solutions to address vulnerabilities in IoT systems, including the use of advanced cryptographic methods and blockchain technology.
  3. Smart Systems and Automation:
    Research on smart systems that utilize IoT for automation in sectors such as healthcare, agriculture, and industrial processes is a core area, emphasizing the role of IoT in enhancing operational efficiency.
  4. Edge and Fog Computing:
    The journal explores the integration of edge and fog computing with IoT, addressing challenges related to data processing, latency, and resource management in distributed environments.
  5. Machine Learning and AI Integration:
    There is a consistent emphasis on incorporating machine learning and artificial intelligence into IoT systems to enable intelligent decision-making, predictive analytics, and anomaly detection.
  6. Sustainability and Environmental Monitoring:
    Research addressing the use of IoT for environmental monitoring, resource management, and sustainable practices is increasingly prominent, highlighting the role of IoT in supporting sustainable development goals.
  7. Standardization and Protocols:
    The journal covers developments in IoT protocols, interoperability standards, and frameworks that facilitate seamless communication and integration among diverse IoT devices.
Recent publications in the journal indicate a shift towards several emerging themes that reflect the evolving landscape of IoT research. These trends highlight the integration of advanced technologies and the increasing focus on security and sustainability.
  1. Federated Learning and AIoT:
    There is a growing interest in federated learning approaches that enable collaborative data processing while preserving privacy, particularly in healthcare and smart city applications.
  2. Blockchain for IoT Security:
    The integration of blockchain technology for enhancing security and trust in IoT systems is increasingly popular, with research exploring decentralized authentication and data integrity.
  3. Smart and Sustainable Cities:
    Emerging themes focus on the role of IoT in smart city initiatives, particularly in areas like traffic management, environmental monitoring, and energy efficiency.
  4. IoT in Healthcare:
    The application of IoT technologies in healthcare is trending, particularly for remote patient monitoring, smart medical devices, and healthcare data management.
  5. Digital Twin Technology:
    The concept of digital twins is gaining traction for its potential to create real-time simulations of physical systems, enhancing monitoring and predictive capabilities.
  6. Edge AI and Edge Computing:
    Research increasingly emphasizes the deployment of AI algorithms at the edge to reduce latency and enhance the performance of IoT applications.
  7. Environmental IoT Applications:
    There is a notable trend towards using IoT for environmental applications, including precision agriculture, pollution monitoring, and resource management.

Declining or Waning

While the journal has seen growth in several areas, certain themes appear to be waning in prominence. This may reflect shifts in research focus or the maturation of specific technologies.
  1. Traditional Sensor Networks:
    Research specifically focused on traditional wireless sensor networks (WSNs) is decreasing as the focus shifts towards more integrated IoT solutions that encompass a broader range of technologies and applications.
  2. Basic IoT Applications:
    There is a decline in papers discussing basic IoT applications without advanced features, as the field evolves towards more complex, data-driven, and intelligent systems.
  3. Low-Power Wide-Area Networks (LPWAN):
    While LPWAN technologies were once a hot topic, their coverage has reduced as researchers explore more comprehensive solutions that incorporate multiple communication technologies and protocols.
  4. Standalone IoT Devices:
    Research on standalone IoT devices that do not integrate with broader systems or networks is becoming less common, with a shift towards interconnected systems that emphasize interoperability.

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