Special Issue "Ambient Intelligence for Emerging Tactile Internet"

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 3271

Special Issue Editors

Department of Computer Science, Institute of Mathematics and Information Technology, Artificial Intelligence Center, Petrozavodsk State University, 31 Lenina Str., 185910 Petrozavodsk, Russia
Interests: ambient intelligence; smart spaces; internet of things; networking; mathematical modeling; performance evaluation; data mining; information services; industrial internet; socio-cyber-physical systems; software engineering
Special Issues, Collections and Topics in MDPI journals
Department of Communications Engineering, Tampere University of Technology, Tampere, Finland
Interests: smart spaces; ubiquitous architectures; embedded networks; open innovations; mobile services
Special Issues, Collections and Topics in MDPI journals
Department of Applied Mathematics and Cybernetics, Petrozavodsk State University, Petrozavodsk, Russia
Interests: mathematical programming; control systems; industrial automation; enterprise planning; digital economy; digital society; digital education

Special Issue Information

Dear Colleagues,

The Tactile Internet paradigm is the next big wave of Internet innovation and of the Internet of Things (IoT) in particular. The term “Tactile Internet” was coined for “A network or network of networks for remotely accessing, perceiving, manipulating or controlling real or virtual objects or processes in perceived real-time by humans or machines.” The Tactile Internet aims to enhance the collaboration and interaction between humans and machines (or systems) in real, virtual, and remote IoT environments.

Ambient Intelligence (AmI) refers to electronic environments that are sensitive and responsive to the people present. The AmI uses the IoT environment to construct and deliver smart services, characterized by context-awareness, personalization, information assistance, ubiquitous access, adaptation, pro-active delivery, and some others. The Artificial Intelligence (AI) methods allow developing service-assistants that enhance the cognitive and movement functions of humans. On the other hand, the Tactile Internet technology supplies such AI assistants with advanced sensor opportunities, real-time data ubiquity, and robotics features.

This Special Issue considers AmI in IoT environments with essential use of the Tactile Internet technology. The key research challenges are data censoring and transfer, data processing and IoT computing paradigms, data mining and analytics with semantically rich data, human-like robotics-oriented cognition and movement, and innovative applications of AmI in the Tactile Internet. We invite authors to submit original research or review articles mainly focused on the Ambient Intelligence and Tactile Internet opportunities. The research and development topics for this Special Issue include, but are not limited to:

  • Smart Internet technologies, platforms, and systems for data sensing, network transfer, and information exchange;
  • Digital devices and network components for AmI and the Tactile Internet;
  • Multi-source multi-type data sensing and information exchange;
  • Edge and Fog computing for perceived real-time data mining and service delivery;
  • Fusing heterogenous data from the physical, cyber, and social worlds;
  • Data mining of cognitive-rich information (e.g., text, audio, video) by interaction of many devices;
  • Data analytics based on semantic relations discovered in multi-source data;
  • Movement and cognition analysis for AI assistants in robotics and healthcare;
  • Human-like text analysis and generation;
  • Information analytics in Tactile Internet;
  • Testbeds, applications, case studies, and social issues of creating AmI in Tactile Internet.

Prof. Dr. Dmitry Korzun
Dr. Sergey Balandin
Prof. Dr. Anatoly Voronin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Tactile Internet
  • Ambient Intelligence
  • Information Assistance Services
  • Smart Sensorics
  • Real-Time Data Mining
  • Movement Analysis
  • Cognitive Analytics
  • Natural Language Processing
  • socio-cyber-physical systems
  • Internet of Things
  • Industrial Internet Applications
  • Robotics

Published Papers (1 paper)

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32 pages, 3448 KiB  
A Framework to Model Bursty Electronic Data Interchange Messages for Queueing Systems
Future Internet 2022, 14(5), 149; https://doi.org/10.3390/fi14050149 - 12 May 2022
Cited by 1 | Viewed by 1879
Within a supply chain organisation, where millions of messages are processed, reliability and performance of message throughput are important. Problems can occur with the ingestion of messages; if they arrive more quickly than they can be processed, they can cause queue congestion. This [...] Read more.
Within a supply chain organisation, where millions of messages are processed, reliability and performance of message throughput are important. Problems can occur with the ingestion of messages; if they arrive more quickly than they can be processed, they can cause queue congestion. This paper models data interchange (EDI) messages. We sought to understand how best DevOps should model these messages for performance testing and how best to apply smart EDI content awareness that enhance the realms of Ambient Intelligence (Aml) with a Business-to business (B2B) supply chain organisation. We considered key performance indicators (KPI) for over- or under-utilisation of these queueing systems. We modelled message service and inter-arrival times, partitioned data along various axes to facilitate statistical modelling and used continuous parametric and non-parametric techniques. Our results include the best fit for parametric and non-parametric techniques. We noted that a one-size-fits-all model is inappropriate for this heavy-tailed enterprise dataset. Our results showed that parametric distribution models were suitable for modelling the distribution’s tail, whilst non-parametric kernel density estimation models were better suited for modelling the head of a distribution. Depending on how we partitioned our data along the axes, our data suffer from quantisation noise. Full article
(This article belongs to the Special Issue Ambient Intelligence for Emerging Tactile Internet)
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