Special Issue "Advances on the Internet of Things in a Smart Environment"

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

Deadline for manuscript submissions: closed (1 March 2015)

Special Issue Editors

Guest Editor
Prof. Dr. Neil Y. Yen

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

Humanitas College, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul, 130-701, Korea
Website | E-Mail
Phone: 82-11-426-4000
Interests: cloud computing and its system; QoS (Quality of Service) model; Security model; DSS (Decision support system); System model for Ubiquitous computing; software architecture; e-learning system; Adaptive learning system

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

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 quarterly 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 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.


Published Papers (2 papers)

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Research

Open AccessArticle Analysis of Characteristics of Power Consumption for Context-Aware Mobile Applications
Information 2014, 5(4), 612-621; doi:10.3390/info5040612
Received: 13 August 2014 / Revised: 31 October 2014 / Accepted: 11 November 2014 / Published: 14 November 2014
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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)
Open AccessArticle Performance Evaluation of an Indoor Positioning Scheme Using Infrared Motion Sensors
Information 2014, 5(4), 548-557; doi:10.3390/info5040548
Received: 13 June 2014 / Revised: 15 October 2014 / Accepted: 16 October 2014 / Published: 27 October 2014
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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)

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Type of Paper: Article
Title: A Smart Hospital System exploiting the integration between RFID and WSN Technoloiges
Authors: L. Catarinucci, D. De Donno, L. Mainetti, L. Palano, L.
Patrono, L. Stefanizzi, and L. Tarricone
Affiliation: University of Salento, Lecce, ITALY
Email: luigi.patrono@unisalento.it
Abstract: This work is focused on the development of a Smart Hospital System exploring the integration between Ultra-High Frequency (UHF) Radio Frequency Identification (RFID) and IEEE 802.15.4 Wireless Sensor Network (WSN) technologies. The proposal uses recent achievements in the Internet of Things (IoT) technologies in order to develop innovative, smart systems supporting the improvement of healthcare and biomedical-related processes, e.g. the automatic identification, monitoring, and tracking of both patients and employees in hospitals and nursing institutes. Such services are based on the deployment of an heterogeneous network of RFID-WSN nodes relaying data to a central server. A set of software applications based on RESTful Java and database Push Notification (PN) technologies has been designed, implemented, and installed on the central server in order to manage alert events (e.g. patient falls) and promptly inform the nursing staff through an iOS/Android mobile app which has been designed ad hoc for the smart hospital scenario.

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