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Selected Papers from CyberC 2019
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Selected Papers from CyberC 2019

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

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 5840

Special Issue Editors

Dr. Bin Xie

E-Mail Website
Guest Editor
InfoBeyond Technology LLC, 320 Whittington PKWY, Louisville, KY STE 117, USA
Interests: wireless communications; sensor networks; cybersecurity; AI & reasoning; optimization; mobile computing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ning Wang

E-Mail Website
Guest Editor
School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: resource allocation and security designs of wireless networks; signal processing for wireless communications; AI-enabled wireless communications
Special Issues, Collections and Topics in MDPI journals
Dr. Xiaolong Xu

E-Mail Website
Guest Editor
School of Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China
Interests: cloud computing; big data; sensor network; information security; mobile computing
Prof. Dr. Anup Kumar

E-Mail Website
Guest Editor
Computer Engineering and Computer Science Department, University of Louisville, Louisville, KY 40292, USA
Interests: mobile computing; IoT; smart sensors; sensor clouds; big data in sensory systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 11th International Conference on Cyber-Enabled Distributed Computing and Knowledge (CyberC 2019) will be held 17–19 October, 2019, in Guilin, China (http://www.cyberc.org/).
Smart sensor networks are fulfilling an important role and serve as interfaces for Internet of Things (IoT) systems to monitor and interact with the physical world. This Special Issue aims to gather the latest research breakthroughs in the area of sensor networks development, especially for its applications in smart cities, industry sensor communications, power distribution systems, intelligent public transport services, pervasive health technologies, and sensor social networks. Papers should present the most recent advances in different aspects of smart sensor networks.
This CyberC 2019 Special Issue has a particular interest in smart sensors and relevant topics. Some of the topics are smart cities, the Internet of Things (IoT), sensor-aided smart grids, vehicular sensor networks, video sensor networks, sensor-aided social networks, cognitive radio sensor networks, robot-aided sensor networks, body sensor networks, sensor–cloud applications, data fusion in smart sensor networks, big data in sensory systems, human–sensor interactions, bio-inspired sensor networks, resource management, cross-layer design and optimization, and network security.
All CyberC 2019 authors are invited to submit their extended papers (30% minimum, 50% or more is desirable) to this Special Issue. Final recommendations will be made based on the paper’s quality.

Dr. Bin Xie
Dr. Ning Wang
Dr. Xiaolong Xu
Prof. Dr. Anup Kumar
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

  • Smart sensors;
  • Sensor networks;
  • Sensor security;
  • Sensor and machine learning;
  • Sensor communications.

Published Papers (2 papers)

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Research

16 pages, 2524 KiB  
Article
Integrating Multiple Models Using Image-as-Documents Approach for Recognizing Fine-Grained Home Contexts
by Sinan Chen, Sachio Saiki and Masahide Nakamura
Sensors 2020, 20(3), 666; https://doi.org/10.3390/s20030666 - 25 Jan 2020
Cited by 9 | Viewed by 3038
Abstract
To implement fine-grained context recognition that is accurate and affordable for general households, we present a novel technique that integrates multiple image-based cognitive APIs and light-weight machine learning. Our key idea is to regard every image as a document by exploiting “tags” derived [...] Read more.
To implement fine-grained context recognition that is accurate and affordable for general households, we present a novel technique that integrates multiple image-based cognitive APIs and light-weight machine learning. Our key idea is to regard every image as a document by exploiting “tags” derived by multiple APIs. The aim of this paper is to compare API-based models’ performance and improve the recognition accuracy by preserving the affordability for general households. We present a novel method for further improving the recognition accuracy based on multiple cognitive APIs and four modules, fork integration, majority voting, score voting, and range voting. Full article
(This article belongs to the Special Issue Selected Papers from CyberC 2019)
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13 pages, 3602 KiB  
Article
High Precision Timing with Parabolic Equation Fitting in Narrowband Systems
by Jun Zou and Chen Xu
Sensors 2019, 19(19), 4164; https://doi.org/10.3390/s19194164 - 25 Sep 2019
Viewed by 2176
Abstract
Timing forms the basis of wireless communication systems. Orthogonal frequency division multiplexing (OFDM) technology has strict requirements for synchronization performance, and timing errors lead to interference between subcarriers and symbols. Although cyclic prefix (CP) can relax the timing requirement, high precision timing is [...] Read more.
Timing forms the basis of wireless communication systems. Orthogonal frequency division multiplexing (OFDM) technology has strict requirements for synchronization performance, and timing errors lead to interference between subcarriers and symbols. Although cyclic prefix (CP) can relax the timing requirement, high precision timing is still necessary and can release the pressure on CP. Due to the uncertainty of signal arrival, there is a sampling offset between the sampling sample’s timing and the real timing, which can be large in the narrowband system with a low sampling rate. In this paper, we propose a parabolic equation fitting method to improve the timing precision in narrowband systems that have two times the rate of the Nyquist sampling rate. The proposed timing method is easy to implement, with low additional complexity compared to traditional timing detection and is based on traditional direct correlator output. Full article
(This article belongs to the Special Issue Selected Papers from CyberC 2019)
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