Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.9
Journals
Sensors
Special Issues
Next Generation 6G Based Sensor Networks for Smart City Application
sensors-logo
Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Next Generation 6G Based Sensor Networks for Smart City Application

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 7657

Special Issue Editors

Dr. S. Vimal

E-Mail Website
Guest Editor
Department of Computer Science and Engineering, Ramco Institute of Technology, Tamil Nadu 626117, India
Interests: AI; machine learning; wireless communication; big data analytics
Dr. Seungmin Rho

E-Mail Website
Guest Editor
Department of Software, Sejong University, Seoul 05006, Korea
Interests: networks; databases; big data analysis; music retrieval; multimedia systems; machine learning; knowledge management; computational intelligence
Dr. Shahid Mumtaz

grade E-Mail Website
Guest Editor
Quantum Communication Instituto de Telecomunicaces, University Campus of Santiago, P-3810-193 Aveiro, Portugal
Interests: 5G-NR; quantum communication; machine learning; satellite communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The worldwide deployment of 5G communication networks represents a significant milestone in communication for both academia and industry, with remarkable achievements in wireless communication and the move beyond 5G. The exploration of 6G has been emerging with the collection of sensor data and using high-performance computing networks. The traditional process involves the collection of data in a centralised manner and, henceforth, heterogenous data from the various sources is accumulated at the server, leading to central issues in communication. Sensor networks is an emerging domain, with interconnectivity of various approaches in ambient intelligence environment. 6G-based sensor networks for smart city applications in wireless communication is a bottleneck technology that enhances privacy and security issues in the wireless paradigm. The emerging 6G communication has improved automation and optimised transmission for next-generation data networks.

The main focus of this Special Issue is on the most recent applications of 6G to optimise data for next-generation networks. Hence, the goal of this Special Issue is to disseminate the latest research and innovations on sensor networks using 6G in smart applications.

This Special Issue will provide insights to readers by way of inculcating the themes that shape 6G wireless communication-based next-generation in terms of secure communication in a ubiquitous environment. The readers will be introduced to various new technologies using 6G, such as man–machine interactions with various collections of data from multiple devices, new mixed multisensor data collections, and data security communications.

Topics include but not limited to:

  • Sensor network-based smart transportation using 6G
  • 6G sensor network-based smart medical applications
  • Wireless communications system for smart water surveillance
  • Wearable computing, robotics for smart health, and emotional care with sensor network using 6G
  • High-performance computing for smart applications using IoT
  • Smart grids using 6G-based sensor network deployment and applications
  • Sensor network machine learning-based smart applications
  • Unmanned aerial vehicles (UAVs) techniques using 6G 

Dr. S. Vimal
Dr. Seungmin Rho
Dr. Shahid Mumtaz
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.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 1570 KiB  
Article
Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution
by Kashif Bilal, Junaid Shuja, Aiman Erbad, Waleed Alasmary, Eisa Alanazi and Abdullah Alourani
Sensors 2022, 22(3), 1092; https://doi.org/10.3390/s22031092 - 31 Jan 2022
Cited by 11 | Viewed by 2595
Abstract
The COVID-19 pandemic has affected the world socially and economically changing behaviors towards medical facilities, public gatherings, workplaces, and education. Educational institutes have been shutdown sporadically across the globe forcing teachers and students to adopt distance learning techniques. Due to the closure of [...] Read more.
The COVID-19 pandemic has affected the world socially and economically changing behaviors towards medical facilities, public gatherings, workplaces, and education. Educational institutes have been shutdown sporadically across the globe forcing teachers and students to adopt distance learning techniques. Due to the closure of educational institutes, work and learn from home methods have burdened the network resources and considerably decreased a viewer’s Quality of Experience (QoE). The situation calls for innovative techniques to handle the surging load of video traffic on cellular networks. In the scenario of distance learning, there is ample opportunity to realize multi-cast delivery instead of a conventional unicast. However, the existing 5G architecture does not support service-less multi-cast. In this article, we advance the case of Virtual Network Function (VNF) based service-less architecture for video multicast. Multicasting a video session for distance learning significantly lowers the burden on core and Radio Access Networks (RAN) as demonstrated by evaluation over a real-world dataset. We debate the role of Edge Intelligence (EI) for enabling multicast and edge caching for distance learning to complement the performance of the proposed VNF architecture. EI offers the determination of users that are part of a multicast session based on location, session, and cell information. Moreover, user preferences and network’s contextual information can differentiate between live and cached access patterns optimizing edge caching decisions. While exploring the opportunities of EI-enabled distance learning, we demonstrate a significant reduction in network operator resource utilization and an increase in user QoE for VNF based multicast transmission. Full article
(This article belongs to the Special Issue Next Generation 6G Based Sensor Networks for Smart City Application)
►▼ Show Figures

Figure 1

18 pages, 3526 KiB  
Article
Q-Meter: Quality Monitoring System for Telecommunication Services Based on Sentiment Analysis Using Deep Learning
by Samuel Terra Vieira, Renata Lopes Rosa, Demóstenes Zegarra Rodríguez, Miguel Arjona Ramírez, Muhammad Saadi and Lunchakorn Wuttisittikulkij
Sensors 2021, 21(5), 1880; https://doi.org/10.3390/s21051880 - 08 Mar 2021
Cited by 21 | Viewed by 3614
Abstract
A quality monitoring system for telecommunication services is relevant for network operators because it can help to improve users’ quality-of-experience (QoE). In this context, this article proposes a quality monitoring system, named Q-Meter, whose main objective is to improve subscriber complaint detection about [...] Read more.
A quality monitoring system for telecommunication services is relevant for network operators because it can help to improve users’ quality-of-experience (QoE). In this context, this article proposes a quality monitoring system, named Q-Meter, whose main objective is to improve subscriber complaint detection about telecommunication services using online-social-networks (OSNs). The complaint is detected by sentiment analysis performed by a deep learning algorithm, and the subscriber’s geographical location is extracted to evaluate the signal strength. The regions in which users posted a complaint in OSN are analyzed using a freeware application, which uses the radio base station (RBS) information provided by an open database. Experimental results demonstrated that sentiment analysis based on a convolutional neural network (CNN) and a bidirectional long short-term memory (BLSTM)-recurrent neural network (RNN) with the soft-root-sign (SRS) activation function presented a precision of 97% for weak signal topic classification. Additionally, the results showed that 78.3% of the total number of complaints are related to weak coverage, and 92% of these regions were proved that have coverage problems considering a specific cellular operator. Moreover, a Q-Meter is low cost and easy to integrate into current and next-generation cellular networks, and it will be useful in sensing and monitoring tasks. Full article
(This article belongs to the Special Issue Next Generation 6G Based Sensor Networks for Smart City Application)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop