Special Issue "New Insights into Pervasive and Mobile Computing"
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 10140
Interests: edge intelligence; ubiquitous computing; mobile computing; cloud-edge-end collaborative deep computing; IoT systems; deep learning; deep model compression; optimization methods; machine learning
Due to improvements in their CPU/GPU capabilities, intelligent mobile devices can now undertake more computing tasks. This computational mechanism is called pervasive and mobile computing. The proliferation of pervasive and mobile computing in intelligent mobile devices is now regarded as an effective mechanism able to assist or change human life. Ubiquitous computing through the design and deployment of various pervasive and mobile computing systems is able to sufficiently perceive various states of humans and things, such as human activities, decision assistance, and health care. It utilizes the computation power of intelligent mobile devices to improve the quality of people's work and life, proving its potential for pervasive and mobile computing. Ideally, computing services will be efficient, reliable, and ubiquitous. However, in reality, the implementation of adaptive and reliable mobile computing systems is still challenging. Maintaining robustness under dynamic network conditions, adapting to dynamic and limited resource constraints, rational energy schedules, protecting data privacy, etc., are still open problems. This Special Issue provides an opportunity for researchers and system developers to address research challenges facing the design, development, deployment, use, and fundamental limits of pervasive and mobile computing systems. We submissions from various fields related to pervasive and mobile computing, wireless communication and networking, embedded systems and hardware, learning algorithms and models, distributed systems and algorithms, data management, and real-world measurement and deployment for mobile systems and applications. Papers on theoretical, practical, and methodological issues in pervasive and mobile computing are welcome.
Potential topics include, but are not limited to:
- Applications of machine learning to mobile/wireless research;
- Mobile health;
- Edge computing and resource scheduling based on artificial intelligence algorithms;
- Security and privacy of embedded intelligent systems;
- Ubiquitous computing and mobile human–computer interaction;
- Mobile web, video, virtual reality, and other applications;
- System smart spaces (e.g., smart factories, smart workspace, smart agriculture);
- Robotic and drone-based networking;
- Implanted and wearable computing;
- Embedded intelligent operating systems and operating environments;
- Embedded intelligence based on sensors, UAVs, and robots;
- Intelligent algorithms for the Internet of Things and the physical space of information;
- Modeling, simulation, and evaluation tools for embedded intelligent applications;
- Experiences, challenges, and comparisons of embedded intelligence platforms;
- Data sharing and management based on embedded intelligent algorithms;
- New communication paradigms for ubiquitous connectivity;
- Low-power wireless media access control, network, and transport protocol designs;
- Resource-efficient machine learning for embedded and mobile platforms;
- Heterogeneous collaborative sensing, including human–robot sensor systems;
- Fault tolerance, dependability, and verification;
- Applications and deployment experiences;
- Applications of embedded intelligence in health, transportation, smart city, intelligent manufacturing, and other fields;
- Security and privacy of embedded intelligent systems;
- Embedded intelligent application networks, system architecture, and protocol;
- Modeling, simulation, and evaluation tools for embedded smart applications.
Dr. Sicong Liu
Prof. Dr. Lei Xie
Manuscript Submission Information
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- pervasive and mobile computing
- wireless communication and networking
- embedded systems and hardware
- learning algorithms and models
- distributed systems and algorithms
- data management
- real-world measurement and deployment for mobile systems