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IoT-Based Cyber-Physical Communication Architecture: Challenges and Research Trends

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 2236

Special Issue Editor


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Guest Editor
Business Informatics-Communications Engineering, Johannes Kepler University, Altenbergerstraße 69, 4040 Linz, Austria
Interests: distributed systems; design-integrated engineering; digital twins; sociotechnical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Internet of Things (IoT) applications and Cyber-Physical Systems (CPS) increasingly propagate into service industries and everyday routines. Their connectivity is key to smart services relying on and controlling cyberphysical devices that enable sensing, collecting, processing, and sharing data. For dynamic and user-centered development, a challenging task is the definition of a communication architecture, as it needs to keep pace with technological progress and transformative needs. The architecture should support a variety of stakeholders, including developers, providers, and consumers. They need to collaborate in design and engineering when trying to meet organizational and technological requirements by a cyberphysical communication architecture.

In this Special Issue, key challenges and opportunities for IoT-based communication architectures and their development are addressed. Of particular interest are cross-cutting concerns, such as privacy, security, distributed intelligence and control, costs, complexity, and explainability. They affect requirement engineering, modeling and design, as well as implementation in distributed sociotechnical settings.

Prof. Dr. Christian Stary
Guest Editor

Manuscript Submission Information

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Keywords

  • IoT
  • CPS
  • smart services
  • (Industrial) Internet of Things
  • distributed systems
  • communication protocols
  • edge computing
  • cloud-based services
  • fog computing
  • digital twinning
  • service engineering
  • network topology
  • digitalization
  • design thinking
  • complex adaptive systems
  • autonomic computing
  • heterogeneous system architecting
  • Industry 4.0
  • Industry 5.0
  • adaptation
  • monitoring
  • model-based design
  • systemic engineering
  • agile development

Published Papers (1 paper)

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Research

21 pages, 7397 KiB  
Article
An Intelligent Multi-Floor Navigational System Based on Speech, Facial Recognition and Voice Broadcasting Using Internet of Things
by Mahib Ullah, Xingmei Li, Muhammad Abul Hassan, Farhat Ullah, Yar Muhammad, Fabrizio Granelli, Lucia Vilcekova and Tariq Sadad
Sensors 2023, 23(1), 275; https://doi.org/10.3390/s23010275 - 27 Dec 2022
Cited by 2 | Viewed by 1893
Abstract
Modern technologies such as the Internet of Things (IoT) and physical systems used as navigation systems play an important role in locating a specific location in an unfamiliar environment. Due to recent technological developments, users can now incorporate these systems into mobile devices, [...] Read more.
Modern technologies such as the Internet of Things (IoT) and physical systems used as navigation systems play an important role in locating a specific location in an unfamiliar environment. Due to recent technological developments, users can now incorporate these systems into mobile devices, which has a positive impact on the acceptance of navigational systems and the number of users who use them. The system that is used to find a specific location within a building is known as an indoor navigation system. In this study, we present a novel approach to adaptable and changeable multistory navigation systems that can be implemented in different environments such as libraries, grocery stores, shopping malls, and official buildings using facial and speech recognition with the help of voice broadcasting. We chose a library building for the experiment to help registered users find a specific book on different building floors. In the proposed system, to help the users, robots are placed on each floor of the building, communicating with each other, and with the person who needs navigational help. The proposed system uses an Android platform that consists of two separate applications: one for administration to add or remove settings and data, which in turn builds an environment map, while the second application is deployed on robots that interact with the users. The developed system was tested using two methods, namely system evaluation, and user evaluation. The evaluation of the system is based on the results of voice and face recognition by the user, and the model’s performance relies on accuracy values obtained by testing out various values for the neural network parameters. The evaluation method adopted by the proposed system achieved an accuracy of 97.92% and 97.88% for both of the tasks. The user evaluation method using the developed Android applications was tested on multi-story libraries, and the results were obtained by gathering responses from users who interacted with the applications for navigation, such as to find a specific book. Almost all the users find it useful to have robots placed on each floor of the building for giving specific directions with automatic recognition and recall of what a person is searching for. The evaluation results show that the proposed system can be implemented in different environments, which shows its effectiveness. Full article
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