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Special Issue "Autonomous and Sustainable Computing for preparing the Internet of Things Environment"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (30 November 2017)

Special Issue Editors

Guest Editor
Dr. Seungmin Rho

Department of Media Software, Sungkyul University, Anyang, Korea
Website | E-Mail
Phone: +82-31-467-8186
Fax: +82-31-449-0529
Guest Editor
Dr. Naveen Chilamkurti

Computer Science and Computer Engineering, La Trobe University Melbourne, Australia
Website | E-Mail
Phone: +61 0 9479 1269
Fax: +61 0 9479 3600
Guest Editor
Dr. Ka Lok Man

Dept. Computer Science and Software Engineering, Xi’an Jiaotong Liverpool University, Suzhou 215123, China
Website | E-Mail
Interests: Wireless Sensor Networks (WSNs), Photovoltaic System Design, Battery Management System, Big Data and Sensing Systems

Special Issue Information

Dear Colleagues,

Due to the rapid growth of ICT and the convergence with industry, all things given information processing and communication functions have been connected. Accordingly, IoT environments enable autonomous service without human intervention. IoT environment means intelligent environment that all the things like human, objects and spaces interconnect as a wire-wireless network, so information of things can create, collect, communicate, share, and utilize.

Anytime, anywhere, anything and/or hyper-connectivity are/is possibly predicted with ease, and can overcome time and space constraints in IoT environments. Namely, it enables anyone, any path, and any service.

This Special Issue is about autonomous and sustainable computing environments, that can collect, store, process and utilize the extensive data, has to resolve providing IoT services. This autonomous and sustainable computing in IoT environments make individuals, businesses, societies and countries enjoy a better quality of life. Examples of topics of interests include, but are not limited to:

  • Data processing and network design for autonomous and sustainable computing in IoT environments
  • Autonomous and sustainable computing design and analysis for IoT environments
  • Extensive Big Data collection and storage methodology for autonomous and sustainable computing

Dr. Seungmin Rho
Dr. Naveen Chilamkurti
Dr. Ka Lok Man
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. Sustainability is an international peer-reviewed open access monthly 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 1400 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 (6 papers)

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Research

Open AccessArticle Evaluating Retrieval Effectiveness by Sustainable Rank List
Sustainability 2017, 9(7), 1203; doi:10.3390/su9071203
Received: 29 April 2017 / Revised: 30 June 2017 / Accepted: 5 July 2017 / Published: 8 July 2017
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Abstract
The Internet of Things (IoT) and Big Data are among the most popular emerging fields of computer science today. IoT devices are creating an enormous amount of data daily on a different scale; hence, search engines must meet the requirements of rapid ingestion
[...] Read more.
The Internet of Things (IoT) and Big Data are among the most popular emerging fields of computer science today. IoT devices are creating an enormous amount of data daily on a different scale; hence, search engines must meet the requirements of rapid ingestion and processing followed by accurate and fast extraction. Researchers and students from the field of computer science query the search engines on these topics to reveal a wealth of IoT-related information. In this study, we evaluate the relative performance of two search engines: Bing and Yandex. This work proposes an automatic scheme that populates a sustainable optimal rank list of search results with higher precision for IoT-related topics. The proposed scheme rewrites the seed query with the help of attribute terms extracted from the page corpus. Additionally, we use newness and geo-sensitivity-based boosting and dampening of web pages for the re-ranking process. To evaluate the proposed scheme, we use an evaluation matrix based on discounted cumulative gain (DCG), normalized DCG (nDCG), and mean average precision (MAPn). The experimental results show that the proposed scheme achieves scores of MAP@5 = 0.60, DCG5 = 4.43, and nDCG5 = 0.95 for general queries; DCG5 = 4.14 and nDCG5 = 0.93 for time-stamp queries; and DCG5 = 4.15 and nDCG5 = 0.96 for geographical location-based queries. These outcomes validate the usefulness of the suggested system in helping a user to access IoT-related information. Full article
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Open AccessArticle Velocity Obstacle Based 3D Collision Avoidance Scheme for Low-Cost Micro UAVs
Sustainability 2017, 9(7), 1174; doi:10.3390/su9071174
Received: 30 April 2017 / Revised: 30 June 2017 / Accepted: 3 July 2017 / Published: 6 July 2017
Cited by 1 | PDF Full-text (27373 KB) | HTML Full-text | XML Full-text
Abstract
An unmanned aerial vehicle (UAV) must be able to safely reach its destination even, when it can only gather limited information about its environment. When an obstacle is detected, the UAV must be able to choose a path that will avoid collision with
[...] Read more.
An unmanned aerial vehicle (UAV) must be able to safely reach its destination even, when it can only gather limited information about its environment. When an obstacle is detected, the UAV must be able to choose a path that will avoid collision with the obstacle. For the collision avoidance scheme, we apply the velocity obstacle approach since it is applicable even with the UAV’s limited sensing capability. To be able to apply the velocity obstacle approach, we need to know the parameter values of the obstacle such as its size, current velocity and current position. However, due to the UAV’s limited sensing capability, such information about the obstacle is not available. Thus, by evaluating sensor readings, we get the changes in the possible positions of the obstacle in order to generate the velocity obstacle and make the UAV choose a collision-free trajectory towards the destination. We performed simulation on different obstacle movements and the collision-free trajectory of the UAV is shown in the simulation results. Full article
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Open AccessArticle Comparative Analysis of Intelligent Transportation Systems for Sustainable Environment in Smart Cities
Sustainability 2017, 9(7), 1120; doi:10.3390/su9071120
Received: 30 April 2017 / Revised: 16 June 2017 / Accepted: 26 June 2017 / Published: 28 June 2017
Cited by 1 | PDF Full-text (1408 KB) | HTML Full-text | XML Full-text
Abstract
In recent works on the Internet of Vehicles (IoV), “intelligent” and “sustainable” have been the buzzwords in the context of transportation. Maintaining sustainability in IoV is always a challenge. Sustainability in IoV can be achieved not only by the use of pollution-free vehicular
[...] Read more.
In recent works on the Internet of Vehicles (IoV), “intelligent” and “sustainable” have been the buzzwords in the context of transportation. Maintaining sustainability in IoV is always a challenge. Sustainability in IoV can be achieved not only by the use of pollution-free vehicular systems, but also by maintenance of road traffic safety or prevention of accidents or collisions. With the aim of establishing an effective sustainable transportation planning system, this study performs a short analysis of existing sustainable transportation methods in the IoV. This study also analyzes various characteristics of sustainability and the advantages and disadvantages of existing transportation systems. Toward the end, this study provides a clear suggestion for effective sustainable transportation planning aimed at the maintenance of an eco-friendly environment and road traffic safety, which, in turn, would lead to a sustainable transportation system. Full article
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Open AccessArticle An Improved Routing Optimization Algorithm Based on Travelling Salesman Problem for Social Networks
Sustainability 2017, 9(6), 985; doi:10.3390/su9060985
Received: 5 April 2017 / Revised: 24 May 2017 / Accepted: 6 June 2017 / Published: 8 June 2017
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Abstract
A social network is a social structure, which is organized by the relationships or interactions between individuals or groups. Humans link the physical network with social network, and the services in the social world are based on data and analysis, which directly influence
[...] Read more.
A social network is a social structure, which is organized by the relationships or interactions between individuals or groups. Humans link the physical network with social network, and the services in the social world are based on data and analysis, which directly influence decision making in the physical network. In this paper, we focus on a routing optimization algorithm, which solves a well-known and popular problem. Ant colony algorithm is proposed to solve this problem effectively, but random selection strategy of the traditional algorithm causes evolution speed to be slow. Meanwhile, positive feedback and distributed computing model make the algorithm quickly converge. Therefore, how to improve convergence speed and search ability of algorithm is the focus of the current research. The paper proposes the improved scheme. Considering the difficulty about searching for next better city, new parameters are introduced to improve probability of selection, and delay convergence speed of algorithm. To avoid the shortest path being submerged, and improve sensitive speed of finding the shortest path, it updates pheromone regulation formula. The results show that the improved algorithm can effectively improve convergence speed and search ability for achieving higher accuracy and optimal results. Full article
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Open AccessArticle Data Compatibility to Enhance Sustainable Capabilities for Autonomous Analytics in IoT
Sustainability 2017, 9(6), 877; doi:10.3390/su9060877
Received: 18 April 2017 / Revised: 12 May 2017 / Accepted: 15 May 2017 / Published: 23 May 2017
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Abstract
The collection of raw data is based on sensors embedded in devices or the environment for real-time data extraction. Nowadays, the Internet of Things (IoT) environment is used to support autonomous data collection by reducing human involvement. It is hard to analyze such
[...] Read more.
The collection of raw data is based on sensors embedded in devices or the environment for real-time data extraction. Nowadays, the Internet of Things (IoT) environment is used to support autonomous data collection by reducing human involvement. It is hard to analyze such data, especially when working with the sensors in a real-time environment. On using data analytics in IoT with the help of RDF, many issues can be resolved. Resultant data will have a better chance of quality analytics by reforming data into the semantical annotation. Industrial correspondence through data will be improved by the induction of semantics at large due to efficient data capturing, whereas one popular medium of sensors’ data storage is Relational Database (RDB). This study provides a complete automated mechanism to transform from loosely structured data stored in RDB into RDF. These data are obtained from sensors in semantically annotated RDF stores. The given study comprises methodology for improving compatibility by introducing bidirectional transformation between classical DB and RDF data stores to enhance the sustainable capabilities of IoT systems for autonomous analytics. Two case studies, one on weather and another on heart-rate measurement collections through IoT sensors, are used to show the transformation process in operation. Full article
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Open AccessArticle A Study on User-Oriented and Intelligent Service Design in Sustainable Computing: A Case of Shipbuilding Industry Safety
Sustainability 2017, 9(4), 544; doi:10.3390/su9040544
Received: 30 January 2017 / Revised: 25 March 2017 / Accepted: 29 March 2017 / Published: 4 April 2017
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Abstract
Most business services based on Ubiquitous Computing are being designed with a sole focus on the technological sector, without considering business elements. In light of this trend, this study was intended to design a user-oriented u-Business service for preventing and promptly responding to
[...] Read more.
Most business services based on Ubiquitous Computing are being designed with a sole focus on the technological sector, without considering business elements. In light of this trend, this study was intended to design a user-oriented u-Business service for preventing and promptly responding to industrial disasters at shipbuilding sites using a systematic methodology. Specifically, major danger elements of disasters in need of preferential preventive and responsive measures were derived as business opportunities unfulfilled by the current process, and then a u-Business service was developed to prevent/respond to such dangers. Statistical analysis was performed on the developed services according to evaluation models, and the final u-Business service was selected based on this analysis. Resources and information systems were designed to support the chosen service. Full article
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