Edge Computing for Internet of Things and Cyber-Physical Systems

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

Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 3587

Special Issue Editors


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Guest Editor
Faculty of Engineering and Applied Science, Ontario Tech University, Oshawa, ON L1G 0C5, Canada
Interests: Internet of Things (IoT); intelligent computer systems; real-time data analytics; mobile computing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Computing & Informatics, University of Louisiana at Lafayette, LA, USA
Interests: resource allocation in distributed and cloud systems; cloud-based video streaming; edge/fog and serverless computing; cloud and big data security; heterogeneous distributed and parallel systems

Special Issue Information

Dear Colleagues,

Edge computing is a critical component of the Internet of Things paradigm in many scenarios and smart applications to provide better resources close to the data generation and support real-time decision making. While edge computing exhibits high dynamics in many of its architectural aspects, it creates unprecedented opportunities for IoT applications and smart services to balance between computing and storage resources, time constraints and network bandwidth. The continuous revolution in wireless communication technologies also unleashes the full potential of distributed systems, where data transfer and communications between edge devices and supporting computing infrastructures are increasingly improving. This special issue focuses on the integration of edge computing with the Internet of Things and Cyber-Physical systems in different application domains. We invite submissions of the innovative ideas, interesting research challenges on the convergence of edge computing and IoT scenarios, communication and computing design aspects of edge computing, and novel solutions to resource limitations on the edge. Topics includes, but are not limited to:

  • Novel communication protocols for IoT-edge based applications
  • Reliability, availability, and scalability in IoT-edge computing
  • Energy efficiency of IoT-edge computing
  • Mobile and federated IoT-edge computing
  • Artificial intelligence/machine learning at the edge
  • Edge storage for IoT applications
  • Co-existence of edge and fog computing
  • Application deployment on edge computing
  • Privacy preserving methods for smart devices and edge infrastructure
  • Cooperative aerial edge computing and communication systems
  • Cooperative internet of things on the edge
  • Blockchain-enabled edge computing systems
  • Context-aware architectures in distributed mobile systems
  • Quality of Service (QoS) on the edge
  • Applications of vehicular networks, V2V and V2I communications
  • Performance evaluation of IoT techniques and models on the edge

Dr. Khalid Elgazzar
Dr. Mohsen Amini Salehi
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.

 

Keywords

  • Edge Computing
  • Internet of Things
  • Cyber-Physical systems

Published Papers (1 paper)

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Research

22 pages, 3917 KiB  
Article
Location Transparency Call (LTC) System: An Intelligent Phone Dialing System Based on the Phone of Things (PoT) Architecture
by Haytham Khalil and Khalid Elgazzar
Future Internet 2022, 14(4), 111; https://0-doi-org.brum.beds.ac.uk/10.3390/fi14040111 - 31 Mar 2022
Cited by 2 | Viewed by 3092
Abstract
Phone of Things (PoT) extends the connectivity options for IoT systems by leveraging the ubiquitous phone network infrastructure, making it part of the IoT architecture. PoT enriches the connectivity options of IoT while promoting its affordability, accessibility, security, and scalability. PoT enables incentive [...] Read more.
Phone of Things (PoT) extends the connectivity options for IoT systems by leveraging the ubiquitous phone network infrastructure, making it part of the IoT architecture. PoT enriches the connectivity options of IoT while promoting its affordability, accessibility, security, and scalability. PoT enables incentive IoT applications that can result in more innovative homes, office environments, and telephony solutions. This paper presents the Location Transparency Call (LTC) system, an intelligent phone dialing system for businesses based on the PoT architecture. The LTC system intelligently mitigates the impact of missed calls on companies and provides high availability and dynamic reachability to employees within the premises. LTC automatically forwards calls to the intended employees to the closest phone extensions at their current locations. Location transparency is achieved by actively maintaining and dynamically updating a real-time database that maps the persons’ locations using the RFID tags they carry. We demonstrate the system’s feasibility and usability and evaluate its performance through a fully-fledged prototype representing its hardware and software components that can be applied in real situations at large scale. Full article
(This article belongs to the Special Issue Edge Computing for Internet of Things and Cyber-Physical Systems)
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