E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "Selected Papers from CyberC 2018"

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 2018)

Special Issue Editors

Guest Editor
Dr. Bin Xie

InfoBeyond Technology LLC, 320 Whittington PKWY, STE 117 Louisville, KY, USA
Website | E-Mail
Interests: wireless communications; sensor networks; sensor security; machine learning; sensors and industry control systems; signaling process
Guest Editor
Prof. Dr. Anup Kumar

Computer Engineering and Computer Science Department, University of Louisville, Louisville, KY, USA
Website | E-Mail
Interests: mobile computing; IoT; smart sensors; sensor clouds; big data in sensory systems
Guest Editor
Dr. Ning Wang

School of Information Engineering, Zhengzhou University, Zhengzhou, Henan, 450001 China
Website | E-Mail
Interests: wireless communications; resource management; cooperative sensor network; information security; mobile edge computing

Special Issue Information

Dear Colleagues,

The 10th International Conference on Cyber-Enabled Distributed Computing and Knowledge (CyberC 2018), will be held 18–20 October, 2018, in Zhengzhou, China (http://www.cyberc.org/).

Smart sensor networks are fulfilling an important role and serve as the 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 2018 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 2018 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
Prof. Anup Kumar
Prof. Ning Wang
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 papers will be 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 1800 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)

View options order results:
result details:
Displaying articles 1-2
Export citation of selected articles as:

Research

Open AccessArticle 3D Path Planning for the Ground Robot with Improved Ant Colony Optimization
Sensors 2019, 19(4), 815; https://doi.org/10.3390/s19040815
Received: 12 December 2018 / Revised: 27 January 2019 / Accepted: 4 February 2019 / Published: 16 February 2019
PDF Full-text (5270 KB) | HTML Full-text | XML Full-text
Abstract
Path planning is a fundamental issue in the aspect of robot navigation. As robots work in 3D environments, it is meaningful to study 3D path planning. To solve general problems of easily falling into local optimum and long search times in 3D path [...] Read more.
Path planning is a fundamental issue in the aspect of robot navigation. As robots work in 3D environments, it is meaningful to study 3D path planning. To solve general problems of easily falling into local optimum and long search times in 3D path planning based on the ant colony algorithm, we proposed an improved the pheromone update and a heuristic function by introducing a safety value. We also designed two methods to calculate safety values. Concerning the path search, we designed a search mode combining the plane and visual fields and limited the search range of the robot. With regard to the deadlock problem, we adopted a 3D deadlock-free mechanism to enable ants to get out of the predicaments. With respect to simulations, we used a number of 3D terrains to carry out simulations and set different starting and end points in each terrain under the same external settings. According to the results of the improved ant colony algorithm and the basic ant colony algorithm, paths planned by the improved ant colony algorithm can effectively avoid obstacles, and their trajectories are smoother than that of the basic ant colony algorithm. The shortest path length is reduced by 8.164%, on average, compared with the results of the basic ant colony algorithm. We also compared the results of two methods for calculating safety values under the same terrain and external settings. Results show that by calculating the safety value in the environmental modeling stage in advance, and invoking the safety value directly in the path planning stage, the average running time is reduced by 91.56%, compared with calculating the safety value while path planning. Full article
(This article belongs to the Special Issue Selected Papers from CyberC 2018)
Figures

Figure 1

Open AccessArticle On Metric Dimension in Some Hex Derived Networks
Sensors 2019, 19(1), 94; https://doi.org/10.3390/s19010094
Received: 29 October 2018 / Revised: 18 December 2018 / Accepted: 26 December 2018 / Published: 28 December 2018
PDF Full-text (751 KB) | HTML Full-text | XML Full-text
Abstract
The concept of a metric dimension was proposed to model robot navigation where the places of navigating agents can change among nodes. The metric dimension md(G) of a graph G is the smallest number k for which G contains [...] Read more.
The concept of a metric dimension was proposed to model robot navigation where the places of navigating agents can change among nodes. The metric dimension m d ( G ) of a graph G is the smallest number k for which G contains a vertex set W, such that | W | = k and every pair of vertices of G possess different distances to at least one vertex in W. In this paper, we demonstrate that m d ( H D N 1 ( n ) ) = 4 for n 2 . This indicates that in these types of hex derived sensor networks, the least number of nodes needed for locating any other node is four. Full article
(This article belongs to the Special Issue Selected Papers from CyberC 2018)
Figures

Figure 1

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top