Calls for Papers (special): International Journal of Distributed Systems and Technologies (IJDST)


Special Issue On: On Combining AI-driven Ubiquitous Computing on Wearable Devices and Smart Distributed Systems

Submission Due Date
9/30/2022

Guest Editors
Dr. Wei Liu, China University of Geosciences, Beijing, China (lllwww@cugb.edu.cn)
Dr. Sudip Kumar Sahana, Birla Institute of Technology, Mesra, India (sudipsahana@bitmesra.ac.in)
Dr. Wenjie Zhang, Nanjing University of Information Science & Technology, Nanjing, China (wenjie.zhang.uts.zky@gmail.com)

Introduction
Recent years, more and more communications and commercial activities are moved to Internet, which promote the popularization of wearable devices and smart distributed systems (SDSs). Ubiquitous computing is a great way to handle the data from wearable devices and implement distributed computing systems, including Internet of Things (IoT) and wireless sensor networks (WSNs). It becomes a new trend to combine artificial intelligence (AI) with ubiquitous computing to enhance the quality of service and user experience. With the continuous emergence of wearable devices and SDSs with intelligence computing capacities, huge volumes of data floods the services and applications at the edge of networks by means of IoT and WSNs. The distributed data source poses some new challenges for ubiquitous computing with regard to data fabric analysis, data acquisition, data mining and data representation. Additionally, AI-driven technology may assist distributed systems to make decisions, which can make the systems become smart.

Objective
This special issue tries to provide a platform for both researchers in academia and practitioners in industry to share their latest studies and practices about AI technology and ubiquitous computing to enhance wearable devices and distribute systems.

Recommended Topics
• Ubiquitous computing theory, architecture, and algorithm in SDSs.
• AI-driven ubiquitous computing for SDSs applications
• Novel technologies for the smart applications based on SDSs
• Wearable and smart devices for SDSs
• Adaptive human and machine intelligence in SDSs
• Multimodal data analyzing and processing in SDSs
• Real-time ubiquitous computing for SDSs scenarios
• Vertical industry applications, e.g., smart cities, smart ocean, and smart education, based on wearable Devices and SDSs
• Emotion-Aware data analysis for ubiquitous computing in SDSs
• Data fabric and representment for ubiquitous computing in SDSs

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on On Combining AI-driven Ubiquitous Computing on Wearable Devices and Smart Distributed Systems on or before September 30, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Wenjie Zhang
Guest Editor
International Journal of Distributed Systems and Technologies (IJDST)
E-mail: wenjie.zhang.uts.zky@gmail.com

Special Issue On: Recent Advances in Collaborative Edge Computing for Social Internet of Things Systems

Submission Due Date
10/2/2022

Guest Editors
Dr. Gunasekaran Manogaran, College of Engineering and Architecture (CEA), Washington D.C., USA.
Dr Ching-Hsien Hsu, College of Information and Electrical Engineering, Asia University, Taiwan.
Dr. Qin Xin, University of the Faroe Islands, Faroe Islands, Denmark.

Introduction
The advent of the Internet of Things (IoT) promises more significant benefits for our everyday lives with new and innovative services and applications. Consequently, when things become smart, the IoT gets social, paving the way for Social Internet of Things (SIoT) systems. SIoT converts the smart objects into social objects, empowering the independent communication between social networks and IoT systems, leading the path to new interdisciplinary research areas. As a matter of fact, SIoT is a new wave of connected objects on the horizon. The fundamental principle here is that “collaborating around a shared purpose” together. It creates a need for a platform where people and objects(products) are connected through a collaborative network. One of the perfect examples for SIoT include a community-based traffic and navigation application updated in real-time through its users. This application will allow billions of users to update the information such as traffic, accidents, road conditions and help people find the best way to go to their residence and work.

Objective
At present, we are at the peak of the industrial age, and the information age is rising. The future of SIoT will take us to a new revolution in the information age. It is essential to forecast and consider the new problems and opportunities it may present. The transition towards SIoT systems will revolve around three critical factors: increased speed, accessibility, and personalization. The data and information, which were once closely protected and proprietary, will become interoperable as platforms adopted by successful organizations. And the products created by those companies will begin to collaborate for shared purposes. Thus with increased connectivity and infrastructures, this information will be instantly made available to the entire network so that users can access real-time data through their personal devices. As people grow accustomed to knowing their needs and preferences through SIoT systems, there will be a tremendous surge in demand for data interoperability. Here comes a primary concern, the existing edge devices focus on computation offloading problems and task scheduling from end device to edge device or a centralized server. They fail to exploit the complete potential of the computing and communication abilities of the edge devices.
Collaborative edge computing supports SIoT advancement with improved interoperability and better visibility through information sharing. The use of collaborative edge computing enables secure and efficient sharing of data with other providers across the SIoT platform. In a conventional edge computing platform, the possibility of collaboration among multiple users is limited. Whereas collaborative edge computing connects the edges of multiple users or organizations far away from each other, assisting efficient communication among the entities. It provides virtual shared data views by fusing geographically distributed data. To this end, we can conclude that collaborative edge computing offers better visibility to SIoT in various important scenarios. Further, SIoT systems are one of the most promising applications of collaborative edge computing. However, research on collaborative edge computing and its application to SIoT systems is still in infancy. In this context, this special issue aims to explore the advances in collaborative edge computing SIoT systems. We welcome the scientific research community to present their novel and innovative research contributions.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
  • Collaborative edge computing for making innovation in data integration and interoperability among the SIoT systems
  • Collaborative edge computing assisted innovative architectures and frameworks for SIoT systems
  • Resource management in collaborative edge computing assisted SIoT systems
  • Impact of IoT and collaborative edge computing on SIoT systems
  • Data aware task allocation for SIoT systems with collaborative edge computing solutions
  • Secure and privacy preserving collaborative edge computing solutions for data intensive SIoT systems Challenges in transition towards SIoT systems with collaborative edge computing solutions
  • Emerging roles of collaborative edge computing in SIoT systems
  • Vision, challenges, and trends associated with collaborative edge computing for SIoT systems in the future IoT era
  • SIoT applications to assist collaborative edge computing applications across various industries (healthcare, transportation, home and security, urban planning, energy, manufacturing, etc.)
  • Trends in collaborative edge computing to bring people and data together across SIoT platforms
  • Effective ways of unlocking the potential of SIoT with collaborative edge computing
  • 5G enabled emerging collaborative edge computing use cases for SIoT
  • SIoT and collaborative edge computing convergence
  • Autonomy, compliance, and security of collaborative edge computing assisted SIoT systems


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Recent Advances in Collaborative Edge Computing for Social Internet of Things Systems on or before October 2nd, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Gunasekaran Manogaran
Guest Editor
International Journal of Distributed Systems and Technologies
Email: gunasekaran.manogar@howard.edu

Special Issue On: Digital Twin Empowered Internet of Intelligent Things (IoIT) for Engineering Cyber Physical Human Systems

Submission Due Date
11/15/2022

Guest Editors
Venkatesan C, HKBK College of Engineering, India
Yu-Dong Zhang, University of Leicester, United Kingdom
Qin Xin, University of the Faroe Islands, Denmark

Introduction
Future engineering systems will rely heavily on Cyber Physical Human Systems (CPHSs) to design and build new capabilities that exceed today's levels of autonomy, flexibility, affordability, durability, and cybersecurity. A digital twin is a digitized representation of a physical object or action connected to the Internet of Things (IoT) in real time. It can be used for multiple things such as monitoring, diagnosing, optimizing and controlling asset performance and utilization. Recent breakthroughs in healthcare are increasingly reliant on medical devices and systems networked via the Internet of Intelligent Things (IoIT) and must match the needs of patients in unusual circumstances. As a result, dynamically reconfigured intelligent patient interaction complex IoITs will be required. There are numerous challenges in cyber physical human systems when integrated with IoT. Appropriate digital twin configuration through advanced multi sensors can be used to overcome the limitations in the CPHSs. Similarly, design and management of smart renewable energy systems and power distribution using smart grids can be optimized using IoITs. To produce high-performance, dependable, and low-cost CPHS that serve humanity, several key problems must answered. CPHSs become more complicated, capable, and prevalent in society, human health, safety, and welfare has to be protected. Misuse of automation as a result of a lack or excess of human trust is another major challenge. Many human behavior limits such as bias, cognitive exhaustion, and computational constraints have to be foreseen, modelled, and exploited in the design of CPHSs. Different sensors, sensing techniques and algorithms that can accurately track and quantify human body movements and emotions have to be properly integrated with IoIT.

Objective
The resolution of this special issue is to offer a detailed view of the emerging field of Internet of Intelligent Things in engineering CPHSs. Relatively new, novel, and unpublished concerns that focus on intelligent IoT for CPHS applications.

Recommended Topics
• Design and challenges in building novel cyber medical systems
• CPHSs in green energy grids
• New architectures and models for cognitive CPHSs
• IoT and connected devices in CPHSs
• Computer-aided detection and diagnosis
• Advance unmanned autonomous systems using multi sensors
• Precision agriculture and water management
• Security and privacy issues in AI-based healthcare application
• Intelligent sensors in human life development
• Machine learning algorithms for building CPHS
• Cyber cities and smart cities with swarm optimization
• Sustainable high-performance computing methods
• Cyber physical human system for medical informatics
• Wearables devices for remote healthcare
• Data mining and big data analytics for IoT

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Digital Twin Empowered Internet of Intelligent Things (IoIT) for Engineering Cyber Physical Human Systems on or before November 15th, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Venkatesan C
Yu-Dong Zhang
Qin Xin
Guest Editors
International Journal of Distributed Systems and Technologies (IJDST)
Email: venkatesanc.ec@hkbk.edu.in; yz461@leicester.ac.uk; qinx@setur.fo

Special Issue On: Mobile Computing-Based Data Analytics for Distributed Intelligent Systems

Submission Due Date
12/31/2022

Guest Editors
Itu Snigdh, Birla Institute of Technology, India (itusnigdh@bitmesra.ac.in)
Chiranjit Changdar, Belda College, Vidyasagar University, India (chiranjit@beldacollege.ac.in)
Ziyang Guo, Huazhong University of Science and Technology, China (guo_ziyang@hust.edu.cn)

Introduction
Wearable devices and mobile hardware have become an essential part of our daily lives. A vast variety of mobile services and applications in the field of Distributed Intelligent Systems (DIS) are emerging, such as mobile Internet, mobile gaming, mobile business transactions, mobile social networks, mobile medical, Internet of Things, etc., to make our life more convenient. However, it is still critical to further improve the quality of service and enhance user experience for DIS. With the help of data analytic and machine learning technology, it becomes possible to mine and disclose low level critical information from massive data generated from DIS, which can help increase the quality of service and user experience. For instance, combining artificial intelligent (AI) and Internet of Things (IoT) technologies, DIS can become smart and provide better services for people’s lives due to the presence of wearable and IoT devices. There still exist many challenges in analyzing data in the related applications of DIS. This special issue will provide a platform for both researchers and practitioners to share their latest studies for data analytics to enhance mobile services and applications.

Objective
This special issue will focus on using mobile computing and data analytics for distributed intelligent systems and related applications. Our special issue aims to invite and encourage researchers and developers to contribute original and practical articles, which can enhance DIS and related applications.

Recommended Topics
• Mobile computing methods and architectures for DIS
• Mobile computing for e-Health, e-Well systems and other healthcare systems in DIS
• Mobile computing accelerators for wearable and IoT applications in DIS
• Mobile computing cooperating with AI technologies for intelligent applications in DIS
• Big data and predictive analysis in DIS
• Data analysis methods and modeling for DIS
• Intelligent data mining for DIS in real-time
• Intelligent distributed algorithms for software design and development in DIS
• Intelligent prototyping and testbeds for online education applications using DIS
• Security and privacy maintenance for heterogeneous data in DIS

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Mobile Computing-Based Data Analytics for Distributed Intelligent Systems on or before December 31st, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Ziyang Guo
Guest Editor
International Journal of Distributed Systems and Technologies (IJDST)
E-mail: guo_ziyang@hust.edu.cn