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Selected Papers from International Conference on Ubiquitous and Future Networks...
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Selected Papers from International Conference on Ubiquitous and Future Networks (ICUFN 2016)

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

Deadline for manuscript submissions: closed (31 January 2017) | Viewed by 23324

Special Issue Editors

Prof. Dr. Sungrae Cho

E-Mail Website
Guest Editor
School of Computer Science and Engineering, Chung-Ang University, Seoul 06974, Korea
Interests: queuing system; wireless networking; ubiquitous computing; ICT convergence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Takeo Fujii

E-Mail Website
Guest Editor
Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo 182-8585, Japan
Interests: wireless ad-hoc network; cognitive radio; wireless sensing technology; wireless network protocol; mobile network communications; ITS and software radio
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Joon-Sang Park

E-Mail Website
Guest Editor
Computer Engineering Department, Hongik University 94 Wausan-ro, Mapo-gu, Seoul 04066, Korea
Interests: sensor networks; mobile computing; network coding; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will include selected papers from the eighth International Conference on Ubiquitous and Future Networks (ICUFN 2016), to be held in Vienna, Austria, 5–8 July, 2016. The conference is organized by KICS (The Korean Institutes of Communications and Information Sciences) with the technical co-sponsorship of IEEE Communications Society and IEICE-CS. During the last decade, we have witnessed fast development of various networking technologies and many forms of networking are becoming core parts of our daily lives. In the days to come, we expect that networking technologies will become ubiquitous and such future ubiquitous networks must be able to cope with unsolved challenges, such as exponential growth in bandwidth demand, unprecedented scale, seamless mobility support, security, etc. Building on the success of the last seven years, ICUFN 2016 will serve as a forum for researchers and technologists to identify and discuss challenges and opportunities in the area of ubiquitous and future networking. The authors of selected papers of ICUFN 2016 within the scope of this journal will be invited to submit extended and enhanced versions of their papers to this Special Issue. These extended papers must contain considerable amount of new material and is subject to a new round of reviews before being published in this Special Issue.

Prof. Dr. Sungrae Cho
Prof. Dr. Takeo Fujii
Prof. Dr. Joon-Sang Park
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 (4 papers)

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Research

2134 KiB  
Article
Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering
by Fernando R. Almeida, Angelo Brayner, Joel J. P. C. Rodrigues and Jose E. Bessa Maia
Sensors 2017, 17(6), 1317; https://doi.org/10.3390/s17061317 - 07 Jun 2017
Cited by 24 | Viewed by 4078
Abstract
An efficient strategy for reducing message transmission in a wireless sensor network (WSN) is to group sensors by means of an abstraction denoted cluster. The key idea behind the cluster formation process is to identify a set of sensors whose sensed values present [...] Read more.
An efficient strategy for reducing message transmission in a wireless sensor network (WSN) is to group sensors by means of an abstraction denoted cluster. The key idea behind the cluster formation process is to identify a set of sensors whose sensed values present some data correlation. Nowadays, sensors are able to simultaneously sense multiple different physical phenomena, yielding in this way multidimensional data. This paper presents three methods for clustering sensors in WSNs whose sensors collect multidimensional data. The proposed approaches implement the concept of multidimensional behavioral clustering. To show the benefits introduced by the proposed methods, a prototype has been implemented and experiments have been carried out on real data. The results prove that the proposed methods decrease the amount of data flowing in the network and present low root-mean-square error (RMSE). Full article
(This article belongs to the Special Issue Selected Papers from International Conference on Ubiquitous and Future Networks (ICUFN 2016))
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1290 KiB  
Article
Cooperative Spatial Retreat for Resilient Drone Networks
by Jin-Hyeok Kang, Young-Min Kwon and Kyung-Joon Park
Sensors 2017, 17(5), 1018; https://doi.org/10.3390/s17051018 - 03 May 2017
Cited by 7 | Viewed by 4957
Abstract
Drones are broadening their scope to various applications such as networking, package delivery, agriculture, rescue, and many more. For proper operation of drones, reliable communication should be guaranteed because drones are remotely controlled. When drones experience communication failure due to bad channel condition, [...] Read more.
Drones are broadening their scope to various applications such as networking, package delivery, agriculture, rescue, and many more. For proper operation of drones, reliable communication should be guaranteed because drones are remotely controlled. When drones experience communication failure due to bad channel condition, interference, or jamming in a certain area, one existing solution is to exploit mobility or so-called spatial retreat to evacuate them from the communication failure area. However, the conventional spatial retreat scheme moves drones in random directions, which results in inefficient movement with significant evacuation time and waste of battery lifetime. In this paper, we propose a novel spatial retreat technique that takes advantage of cooperation between drones for resilient networking, which is called cooperative spatial retreat (CSR). Our performance evaluation shows that the proposed CSR significantly outperforms existing schemes. Full article
(This article belongs to the Special Issue Selected Papers from International Conference on Ubiquitous and Future Networks (ICUFN 2016))
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3921 KiB  
Article
Ubiquitous Creation of Bas-Relief Surfaces with Depth-of-Field Effects Using Smartphones
by Bong-Soo Sohn
Sensors 2017, 17(3), 572; https://doi.org/10.3390/s17030572 - 11 Mar 2017
Cited by 4 | Viewed by 6633
Abstract
This paper describes a new method to automatically generate digital bas-reliefs with depth-of-field effects from general scenes. Most previous methods for bas-relief generation take input in the form of 3D models. However, obtaining 3D models of real scenes or objects is often difficult, [...] Read more.
This paper describes a new method to automatically generate digital bas-reliefs with depth-of-field effects from general scenes. Most previous methods for bas-relief generation take input in the form of 3D models. However, obtaining 3D models of real scenes or objects is often difficult, inaccurate, and time-consuming. From this motivation, we developed a method that takes as input a set of photographs that can be quickly and ubiquitously captured by ordinary smartphone cameras. A depth map is computed from the input photographs. The value range of the depth map is compressed and used as a base map representing the overall shape of the bas-relief. However, the resulting base map contains little information on details of the scene. Thus, we construct a detail map using pixel values of the input image to express the details. The base and detail maps are blended to generate a new depth map that reflects both overall depth and scene detail information. This map is selectively blurred to simulate the depth-of-field effects. The final depth map is converted to a bas-relief surface mesh. Experimental results show that our method generates a realistic bas-relief surface of general scenes with no expensive manual processing. Full article
(This article belongs to the Special Issue Selected Papers from International Conference on Ubiquitous and Future Networks (ICUFN 2016))
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444 KiB  
Article
A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications
by Thanh Dinh, Younghan Kim and Hyukjoon Lee
Sensors 2017, 17(3), 489; https://doi.org/10.3390/s17030489 - 01 Mar 2017
Cited by 51 | Viewed by 7033
Abstract
This paper presents a location-based interactive model of Internet of Things (IoT) and cloud integration (IoT-cloud) for mobile cloud computing applications, in comparison with the periodic sensing model. In the latter, sensing collections are performed without awareness of sensing demands. Sensors are required [...] Read more.
This paper presents a location-based interactive model of Internet of Things (IoT) and cloud integration (IoT-cloud) for mobile cloud computing applications, in comparison with the periodic sensing model. In the latter, sensing collections are performed without awareness of sensing demands. Sensors are required to report their sensing data periodically regardless of whether or not there are demands for their sensing services. This leads to unnecessary energy loss due to redundant transmission. In the proposed model, IoT-cloud provides sensing services on demand based on interest and location of mobile users. By taking advantages of the cloud as a coordinator, sensing scheduling of sensors is controlled by the cloud, which knows when and where mobile users request for sensing services. Therefore, when there is no demand, sensors are put into an inactive mode to save energy. Through extensive analysis and experimental results, we show that the location-based model achieves a significant improvement in terms of network lifetime compared to the periodic model. Full article
(This article belongs to the Special Issue Selected Papers from International Conference on Ubiquitous and Future Networks (ICUFN 2016))
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