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Selected Papers from ICTC 2019

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

Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 4979

Special Issue Editors


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Guest Editor
Department of Software, Ajou University, Suwon, South Korea
Interests: machine learning; artificial intelligence; data analysis; network security; radio resource management; industrial IoT; V2X
Special Issues, Collections and Topics in MDPI journals
Department of Software and Computer Engineering, Ajou University, Suwon, Korea
Interests: ad hoc networks; cognitive radio networks; wireless sensor networks; channel assignment and routing; multi-interface multi-hop communications
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electronic Engineering, Keimyung University, Daegu, Korea
Interests: Cognitive radio; ad-hoc and mesh networks; Internet of Underwater Things; Machine Learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This special issue aims to provide a forum for further discussion on the most recent advances in the emerging industrial convergence centered around the information and communication technologies from ICTC 2019. In particular, it will bring further challenges with realizing ICT convergence over the various industrial sectors, including mobile communications, intelligent transportation, healthcare, and artificial intelligence. It is encouraged that the submission of both review and original research articles dedicated to ICT convergence including future wireless communications.

Prof. Dr. Young-June Choi
Dr. Rajib Paul
Dr. Yalew Zelalem Jembre
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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

  • 5G mobile communication;
  • Communication theory;
  • Cognitive radio networks;
  • Network performance;
  • Resource allocation;
  • Vehicular communication;
  • Artificial intelligence;
  • Healthcare and bio-informatics;
  • Cloud systems and SDN;
  • Security for ICT convergence.

Published Papers (2 papers)

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Research

14 pages, 2889 KiB  
Article
Energy-Efficient Protocol of Link Scheduling in Cognitive Radio Body Area Networks for Medical and Healthcare Applications
by Thien Thi Thanh Le and Sangman Moh
Sensors 2020, 20(5), 1355; https://doi.org/10.3390/s20051355 - 1 Mar 2020
Cited by 4 | Viewed by 2445
Abstract
Wireless body area networks (WBANs) have become a new paradigm for electronic healthcare applications; for instance, they are used to efficiently monitor patients in real-time. In this paper, an energy-efficient link scheduling (ELS) protocol for cognitive radio body area networks (CRBANs) is proposed, [...] Read more.
Wireless body area networks (WBANs) have become a new paradigm for electronic healthcare applications; for instance, they are used to efficiently monitor patients in real-time. In this paper, an energy-efficient link scheduling (ELS) protocol for cognitive radio body area networks (CRBANs) is proposed, which aims to minimize energy consumption in CRBANs, while achieving higher probabilities of successful transmissions with multiple CRBANs. The proposed ELS transmits packets in the common control channel to control transmission links amongst CRBANs to the gateway and vice versa. The transmissions of CRBANs to the gateway are scheduled at a specific time by the gateway in different data channels, according to the traffic priority of CRBANs. Packet delivery ratio, delay, and energy consumption are evaluated for multiple CRBANs via extensive simulation. Full article
(This article belongs to the Special Issue Selected Papers from ICTC 2019)
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15 pages, 627 KiB  
Article
Two-Stage Interference Cancellation for Device-to-Device Caching Networks
by Sang-Woon Jeon and Sung Ho Chae
Sensors 2020, 20(3), 780; https://doi.org/10.3390/s20030780 - 31 Jan 2020
Cited by 1 | Viewed by 1998
Abstract
Wireless device-to-device (D2D) caching networks are studied, in which n nodes are distributed uniformly at random over the network area. Each node caches M files from the library of size m M and independently requires a file from the library. Each request [...] Read more.
Wireless device-to-device (D2D) caching networks are studied, in which n nodes are distributed uniformly at random over the network area. Each node caches M files from the library of size m M and independently requires a file from the library. Each request will be served by cooperative D2D transmission from other nodes having the requested file in their cache memories. In many practical sensor or Internet of things (IoT) networks, there may exist simple sensor or IoT devices that are not able to perform real-time rate and power control based on the reported channel quality information (CQI). Hence, it is assumed that each node transmits a file with a fixed rate and power so that an outage is inevitable. To improve the outage-based throughput, a cache-enabled interference cancellation (IC) technique is proposed for cooperative D2D file delivery which first performs IC, utilizing cached files at each node as side information, and then performs successive IC of strongly interfering files. Numerical simulations demonstrate that the proposed scheme significantly improves the overall throughput and, furthermore, such gain is universally achievable for various caching placement strategies such as random caching and probabilistic caching. Full article
(This article belongs to the Special Issue Selected Papers from ICTC 2019)
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