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Advances on the Internet of Things in a Smart Environment
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Advances on the Internet of Things in a Smart Environment

A special issue of Information (ISSN 2078-2489).

Deadline for manuscript submissions: closed (1 March 2015) | Viewed by 13075

Special Issue Editors

Prof. Dr. Neil Y. Yen

E-Mail Website
Guest Editor
System Intelligence Laboratory, Division of Computer Science, School of Computer Science and Engineering, The University of Aizu, Aizu, Japan
Interests: hybrid intelligence for information retrieval, management and optimization; awareness systems for human-centered support and social network analysis; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hwa-Young Jeong

E-Mail Website
Guest Editor
Humanitas College, Kyung Hee University, Seoul 130-701, Republic of Korea
Interests: image data processing; multimedia based e-learning system and services; conversion service with multimedia; big data analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, there have been many discussions concerning future information technologies, such as cloud computing, sensing, big data, the Internet of Things (IoT), etc. IoT for Smart Environments (SE) is a new paradigm that is rapidly gaining information in scenarios concerning smart objects, sensing, and wireless communications. The basic idea of an SE is the pervasive presence in our lifestyles of a variety of things. Specifically, the IoT is one of the most important aspects relating to several SE technologies. The environments consist of personal and ubiquitous devices. Future computing environments will provide a converged IT infrastructure and theory by using the IoT and smart objects. This Special Issue will overview state-of-the-art of issues and solution guidelines for SE sand the IoT.

This special issue aims to provide the interested reader with a collection of papers describing recent advances in the Internet of Things for a smart environment.

Topics of interest include, but are not limited to:

- Internet of Things

- Ubiquitous system

- Adaptive and Dynamic Algorithms

- Cyber Physical System

- Personal Devices

- Wireless Sensor

- Interoperable Service-oriented Technologies

Prof. Dr. Neil Y. Yen
Prof. Dr. Hwa-Young (Michael) Jeong
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. Information 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 1600 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.


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Published Papers (2 papers)

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1483 KiB  
Article
Analysis of Characteristics of Power Consumption for Context-Aware Mobile Applications
by Meeyeon Lee, Deok-Ki Kim and Jung-Won Lee
Information 2014, 5(4), 612-621; https://doi.org/10.3390/info5040612 - 14 Nov 2014
Cited by 4 | Viewed by 6138
Abstract
In recent years, a large portion of smartphone applications (Apps) has targeted context-aware services. They aim to perceive users’ real-time context like his/her location, actions, or even emotion, and to provide various customized services based on the inferred context. However, context-awareness in mobile [...] Read more.
In recent years, a large portion of smartphone applications (Apps) has targeted context-aware services. They aim to perceive users’ real-time context like his/her location, actions, or even emotion, and to provide various customized services based on the inferred context. However, context-awareness in mobile environments has some challenging issues due to limitations of devices themselves. Limited power is regarded as the most critical problem in context-awareness on smartphones. Many studies have tried to develop low-power methods, but most of them have focused on the power consumption of H/W modules of smartphones such as CPU and LCD. Only a few research papers have recently started to present some S/W-based approaches to improve the power consumption. That is, previous works did not consider energy consumed by context-awareness of Apps. Therefore, in this paper, we focus on the power consumption of context-aware Apps. We analyze the characteristics of context-aware Apps in a perspective of the power consumption, and then define two main factors which significantly influence the power consumption: a sort of context that context-aware Apps require for their services and a type of ways that a user uses them. The experimental result shows the reasonability and the possibility to develop low-power methods based on our analysis. That is, our analysis presented in this paper will be a foundation for energy-efficient context-aware services in mobile environments. Full article
(This article belongs to the Special Issue Advances on the Internet of Things in a Smart Environment)
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1592 KiB  
Article
Performance Evaluation of an Indoor Positioning Scheme Using Infrared Motion Sensors
by Changqiang Jing, Biao Zhou, Nammoon Kim and Youngok Kim
Information 2014, 5(4), 548-557; https://doi.org/10.3390/info5040548 - 27 Oct 2014
Cited by 5 | Viewed by 6051
Abstract
Internet of Things (IoT) for Smart Environments (SE) is a new scenario that collects useful information and provides convenient services to humans via sensing and wireless communications. Infra-Red (IR) motion sensors have recently been widely used for indoor lighting because they allow the [...] Read more.
Internet of Things (IoT) for Smart Environments (SE) is a new scenario that collects useful information and provides convenient services to humans via sensing and wireless communications. Infra-Red (IR) motion sensors have recently been widely used for indoor lighting because they allow the system to detect whether a human is inside or outside the sensors’ range. In this paper, the performance of a position estimation scheme based on IR motion sensor is evaluated in an indoor SE. The experimental results show that we can track the dynamic position of a pedestrian in straight moving model as well as two dimensional models. Experimental results also show that higher performance in accuracy and dynamic tracking in real indoor environment can be achieved without other devices. Full article
(This article belongs to the Special Issue Advances on the Internet of Things in a Smart Environment)
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