Special Issue: Computational Intelligence for Cognitive Internet of Things

Special Issue on "Computational Intelligence for Cognitive Internet of Things"

Theme and Scope

Cognitive Internet of Things (CIoT) is an emerging trend where cognitive computing is used to make IoT devices intelligent and smarter. CIoT is seen as the latest IoT combined with cognitive and cooperative frameworks for success promotion and intelligence achievement. In addition, CIoT is expected to provide better insights and high-level knowledge from the massive volume of data collected by IoT to generate benefits for customers, cities, and enterprise, supported by computational intelligence, therefore considered to push the next wave of data analytics and digital skills. In order to address key technological challenges, such as producing broad sensory data, secure computing on the CIoT edge, and integrating data from multiple sources and forms, the creation of cognitive technologies is very significant. From the other hand in order to progress with the latest paradigms of computation and communication, the CIoT framework must be modified by integrating technical concepts like deep learning, the CIoT sensing method, data analytics, and cognition in providing human-like cognitive ability. CIoT is an evolving area in which cognitive computing is used to make IoT systems smarter and intelligent. Since intelligence is the capacity to think about, learn from, understand and connect with one's surroundings, - Computational intelligence (CI) mainly relies on the power of natural agents to act intelligently. It covers the theory, architecture, implementation, and creation of computational paradigms that are biologically and linguistically driven, integrating elements of learning, adaptation, evolution, and fuzzy logic. These algorithms tend to estimate the answer to complex problems and generalise them, which tends to very low-robust approaches.

CI aims to complement natural intelligence in order to achieve competitive results for humans. Besides it is an effective methodology for a wide variety of problems in data processing, such as financial forecasting, applications for manufacturing, science, and social media. Recent advances in computational intelligence have shown very promising results in many sectors. CIoT offers immense opportunities for creating smart and intelligent applications with computational intelligence. Integrating CI with CIoT, allows efficient handling of information and further it can be used for automation, management of resources, sustainable systems and better data protection. Recent developments in computational intelligence, fog computing, big data, and cognitive computational theory, however, indicate that the multidisciplinary CIoT still faces basic, long-standing issues, such as mathematical models and decision-making mechanisms based on brain, cognitive science, and psychological neurobiological processes. The purpose of this special issue is to provide an excellent platform for researchers and practitioners working on computational intelligence technologies for CIoT systems to exchange experiences and disseminate effective CIoT technology applications. In order to solve complex real-world problems associated with the CIoT, we invite the latest works concerning the design and implementation of CI algorithms

The following topics are welcomed but not restricted:

  • Recent innovations, infrastructure, technology and test-beds for CIoT
  • Impact of Data analytics tools, programmes, technologies, algorithms and methods in CIoT
  • Recent advancement in intelligent algorithms for cloud-based CIoT
  • Current trends in cognitive dimensions of artificial intelligence in CIoT
  • Advanced methods for Intelligent information fusion systems in CIoT
  • Novel CIoT computational/intelligent models and software applications
  • Implementation issues in blockchain based privacy and security for CIoT
  • Computational Intelligent techniques for smart surveillance in online social networks
  • Computational intelligence in big data computing and knowledge recommendation
  • Novel intelligent systems for information fusion in CIoT
  • New inventions in AI/ML/DL for cognitive based internet of things
  • Applications of deep learning and computational intelligence-based data analytics for smart healthcare.
  • Need of big data analytics for prediction, management, and decision-making in CIoT
  • Design issues of heterogeneous AI memory systems on cloud-based CIoT

Instructions for Manuscripts

Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech.  When submitting papers, authors should specify that the manuscript is for Special Issue on “Computational Intelligence for Cognitive Internet of Things. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines


Important dates

Manuscript Submission Deadline Date: 15, June 2021

Authors Notification Date:  20, August 2021

Revised Papers Due Date:  25, November 2021

Final notification Date:  05, February 2022

Tentative Publication Date: the 2nd or 3rd quarter of 2022


Guest Editors:

Dr. Tu Nguyen (Lead Guest Editor)

Department of Computer Science, Purdue University Fort Wayne, Fort Wayne, USA.

Email: nguyent@pfw.edu


Dr. Nam P. Nguyen

Department of Computer & Information Sciences, Towson University, Maryland, United States.

Email: npnguyen@towson.edu


Dr. Claudio Savaglio

Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, Italy.

Email: csavaglio@dimes.unical.it


Dr. Ying Zhang

School of Information and Communication Engineering, University of Electronic Science and Technology of China.

Email: yin.zhang.cn@ieee.org


Dr. Braulio Dumba

IBM Thomas J. Watson Research Center, Yorktown Heights, USA.

Email: Braulio.Dumba@ibm.com