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Mobile Networks and Applications

The Journal of SPECIAL ISSUES on Mobility of Systems, Users, Data and Computing

Publishing model:

Mobile Networks and Applications - Ubiquitous Computing Entity-aware Data Management on Mobile Devices

Mobile computing has become a prevalent and powerful technology that has altered the way it conducts business. There is a great deal of data management in mobile computing, and it is important to understand some of its functions. Mobile computing has created new challenges for data management. Users have been shifting their computer activities to mobile devices and creating more data than ever before. Companies need to know how to manage and protect the growing volume of all types of data on today’s tablets and smartphones. Data management is a key factor in maintaining the health of mobile computing devices. Today, data is essential for working efficiently and effectively. With the ease of accessibility, information can be transferred from one device to another with minimal effort. However, with mobility comes potential hazard through security breaches and loss of data due to deletion or formatting errors.


Entity-aware Data Management on Mobile Devices (EDMD) is a new research direction that aims to enable intelligent, efficient, and scalable solutions for managing data on mobile devices. With the introduction of entity-aware data management on mobile devices, we are on the verge of new possibilities. Historically, data management has been restricted to structured data due to its tendency to fit in fixed categories and the need for predefined systems of organization and processing. With the advent of entity-aware data management for unstructured data, a whole new world opens up for problems that were previously too demanding or impossible to solve with traditional approaches to computation With the ever-increasing popularity of mobile devices, it is likely that data management capabilities will need to be enhanced through Entity-aware Data Management on Mobile Devices.


Mobile devices have enabled a new generation of computing applications, ranging from social networking to real-time information delivery. To take advantage of this revolution, there is an urgent need to develop entity-aware data management solutions that enable ubiquitous computing on mobile devices. Such solutions are still lacking due to their heavy reliance on the traditional client-server paradigm and limitations in scalability. In this special issue, we will bring together researchers working in this area by focusing on intelligent entity-aware data management algorithms for large-scale mobile devices. The proposed research areas include social networks, location-based services, and sensor data collection.

LIST OF TOPICS AREAS INCLUDE, BUT ARE NOT LIMITED TO:

  • Novel Input Methods for Mobile Interaction Networking Models for Mobile Applications 
  • Challenges related to entity-aware data handling
  • Design issues of a cloud architecture aimed at managing entity-aware data efficiently
  • Empirical analysis on agents used as an interface between users and service providers
  • User models that reflect the human decision-making process based on contextual information
  • Research and developments on the unified ontology model used across many types of UC systems
  • Developing efficient algorithms for accessing entity attribute data efficiently distributed over multiple servers and databases
  • New Solutions to increase scalability and enhance efficiency;
  • Novel methodologies to take advantage of device resources for data management and processing
  • Synchronization of user activities across multiple devices and offline data access
  • Prototype implementation to manage data in mobile devices to improve usability and reduce privacy concerns

GUEST EDITOR INFORMATION:Name: Dr. Faheem KhanAffiliation: Assistant Professor, Department of Computer Engineering, Gachon University, Seongnam, South KoreaEmail: faheem@gachon.ac.kr (this opens in a new tab), hamzahooram0915@gmail.com (this opens in a new tab)  G Scholar: https://scholar.google.com.pk/citations?user=eIC_cSYAAAAJ&hl=en (this opens in a new tab)Short Bio: Faheem Khan received the Ph.D. degree in computer science from the University of Malakand, KPK, Pakistan. He served four years in Pakistan as an Assistant Professor and supervised many papers and students. Since April 2021, he has been an Assistant Professor with the Department of Computer Engineering, Gachon University, South Korea. His field of interest is Computer Networking, Wireless Networking, MANET, IoT, AI, Machine Learning, etc.,Name: Dr. Rahat UllahAffiliation: Associate Professor, School of Physics and Optoelectronics, Nanjing University of Information Science and Technology (NUIST) Nanjing 210044, ChinaEmail: rahat@nuist.edu.cn (this opens in a new tab)G Scholar: https://scholar.google.com/citations?user=HQpTydgAAAAJ&hl=en (this opens in a new tab)Short Bio: Rahat Ullah received Ph.D. degree in optical engineering from the Beijing University of Posts and Telecommunications, Beijing, China. He is currently an Associate Professor with the Institute of Optoelectronics, Nanjing University of Information Science and Technology, Nanjing, China. His research interests include optical communications, passive optical networks, optical multicarrier generation, and radio over fiber. Name: Dr. Umme LailaAffiliation: Assistant Professor, Computer Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Pakistan.Email: ulaila@ssuet.edu.pk (this opens in a new tab)G Scholar: https://scholar.google.com.pk/citations?user=wib1gQkAAAAJ&hl=en (this opens in a new tab)Short Bio: Dr. Umme Laila received her Ph.D. in Computer Science and Information Technology, NED University of Engineering and Technology, Karachi, Pakistan (2016~2021). Since May 2008, she has been an Assistant Professor with the Computer Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Pakistan. Her area of interest includes Open-source software, Object oriented programming, Human Computer Interaction and Android.MANUSCRIPT SUBMISSION – KEY DATES: Submission Deadline: 10th July, 2023Author Notification: 20th October, 2023Revision and Resubmission Deadline: 25th December, 2023Paper Acceptance: 05th March, 2023

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