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Pervasive and Mobile Computing

  • ISSN: 1574-1192

Editor-In-Chief: Das

Next planned ship date: June 3, 2024

  • 5 Year impact factor: 3.4
  • Impact factor: 4.3

Special Issue Proposal Note PMCJ exclusively reviews Special Issue proposal forms submitte… Read more

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June 3, 2024

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Special Issue Proposal Note
PMCJ exclusively reviews Special Issue proposal forms submitted here through the designated submission system.
Proposals submitted via any other means will not be considered for review.
For more information on how to prepare and submit a SI proposal please check https://www.elsevier.com/physical-sciences-and-engineering/computer-science/journals/how-to-prepare-a-special-issue-proposal.

Aims and Scope
As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral to our daily lives. Tremendous advancements in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoT) to ubiquitous connectivity through wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including mobile edge/fog/cloud, data analytics and machine learning) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing.

Such cutting-edge pervasive technologies and paradigms have led to the convergence of cyber-physical-human systems with applications to smart environments (e.g., smart homes and cities, smart grid, smart transportation, smart health, smart agriculture) with the goal to improve human experience and quality of life without explicit awareness of the underlying communications and computing technologies. Additionally, the huge amount of (real-time) data collected via pervasive devices coupled with advanced data analytic, machine learning and AI (Artificial Intelligence) techniques for reliable prediction and decision-making are making breakthrough research in pervasive computing and applications, such as self-driving cars, predictive maintenance in the industry 4.0 environments, mobile recommendation systems, etc.

The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems. Topics include, but not limited to:

Pervasive Computing and Communications Architectures and Protocols

Pervasive, Mobile and Wearable Computing Systems and Services

Cyber-Physical Systems and Cyber-Physical-Human Systems

Smart Systems and Applications (smart homes, smart cities, smart manufacturing, smart transportation, smart grid, smart health, smart agriculture, etc.)

Human-centric Intelligent Systems

Cognitive Computing

Trustworthy AI in Pervasive Systems

Machine Learning and Deep Learning in Pervasive and Mobile Computing

Federated, Distributed and Embedded learning, Learning at-the-edge in Pervasive Systems

Learning on Streaming Data and Continual Learning in Pervasive and Mobile Systems

Big Data and Data Analytics in Pervasive Computing Systems

Internet of Things and Social Internet of Things

Internet of People and Internet of Vehicles

Edge, Fog, Mobile Cloud and Opportunistic Computing in Pervasive and Mobile Systems

Enabling Pervasive Communication Technologies (e.g., wireless LANs, cellular, hybrid, ad hoc and cognitive networks)

Wireless Sensors Networks and RFID Technologies

Urban Sensing and Mobile Crowdsensing

Participatory and Social Sensing

Machine-to-Machine and Device-to-Device Communications

Positioning, Localization and Tracking Technologies

Activity Recognition and Tracking

Context-aware Computing

Location-based Services and Applications

Pervasive Service Creation, Composition, Discovery, Management, and Delivery

Human User Interfaces and Interaction Models

Trust, Reliability, Security, and Privacy in Pervasive and Mobile Computing Systems

Performance Evaluation of Pervasive and Mobile Computing Systems