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