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