E-Mail Alert

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

Journal Browser

Journal Browser

Special Issue "Smart Spaces and Ubiquitous Solutions"

Quicklinks

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (30 November 2011)

Special Issue Editors

Guest Editor
Dr. Boris Bellalta

Universitat Pompeu Fabra, Roc Boronat, 138. 08018 Barcelona, Spain
Website | E-Mail
Interests: wireless sensor networks; PHY/MAC cross-layer design; autonomic architectures and self- protocols
Guest Editor
Prof. Dr. Yevgeni Kourcheyavy

Department of Communication Engineering, Tampere University of Technology, Korkeakoulunkatu 10, FI-33720 Tampere, Finland
Website | E-Mail
Interests: wireless networking, energy efficiency, P2P and cloud multimedia services, QoS and QoE
Guest Editor
Dr. Sergey Balandin

Finnish-Russian University Cooperation in Telecommunications (FRUCT), Kissankellontie 20B, 00930 Helsinki, Finland
Website | E-Mail
Interests: smart spaces; ubiquities architectures; embedded networks; open innovations; mobile services

Special Issue Information

Dear Colleagues,

Recent advances in the field of wireless networks, data mining and knowledge processing have moved them beyond their traditional areas of application to a much broader scope. Together they form a space where users can access a number of wireless technologies to interact with various services. Similarly, existent and future services form a space providing an unlimited set of possibilities ranging from browsing to interactive video conversations. All these layers form a smart environment that harmonize a number of technologies at each architectural layer to provide the best user experience.

This special issue will explore and explain the scope and challenges of smart spaces and ubiquitous solutions. In this regard, the special issue aims to gather latest research results from diverse fields including but not limited to wireless communication, ubiquitous networks, data mining, knowledge processing, software development, multimedia, services, and business related to smart spaces and smart cities.

Dr. Sergey Balandin
Dr. Boris Bellalta
Prof. Dr. Yevgeni Kourcheyavy
Guest Editors

Keywords

  • smart spaces and cities
  • ambient intelligence
  • ubiquitous and autonomic architectures.
  • wireless sensor networks,
  • personal body networks
  • cyber-physical systems and human-computer interactions,
  • information fusion in smart spaces
  • learning and reasoning in smart spaces
  • open innovation in smart spaces.
  • applications in fields related to e-health, transportation, energy and logistics

Published Papers (4 papers)

View options order results:
result details:
Displaying articles 1-4
Export citation of selected articles as:

Research

Open AccessArticle Activity Inference for Ambient Intelligence Through Handling Artifacts in a Healthcare Environment
Sensors 2012, 12(1), 1072-1099; doi:10.3390/s120101072
Received: 29 November 2011 / Revised: 10 January 2012 / Accepted: 16 January 2012 / Published: 20 January 2012
Cited by 19 | PDF Full-text (2406 KB) | HTML Full-text | XML Full-text
Abstract
Human activity inference is not a simple process due to distinct ways of performing it. Our proposal presents the SCAN framework for activity inference. SCAN is divided into three modules: (1) artifact recognition, (2) activity inference, and (3) activity representation, integrating three important
[...] Read more.
Human activity inference is not a simple process due to distinct ways of performing it. Our proposal presents the SCAN framework for activity inference. SCAN is divided into three modules: (1) artifact recognition, (2) activity inference, and (3) activity representation, integrating three important elements of Ambient Intelligence (AmI) (artifact-behavior modeling, event interpretation and context extraction). The framework extends the roaming beat (RB) concept by obtaining the representation using three kinds of technologies for activity inference. The RB is based on both analysis and recognition from artifact behavior for activity inference. A practical case is shown in a nursing home where a system affording 91.35% effectiveness was implemented in situ. Three examples are shown using RB representation for activity representation. Framework description, RB description and CALog system overcome distinct problems such as the feasibility to implement AmI systems, and to show the feasibility for accomplishing the challenges related to activity recognition based on artifact recognition. We discuss how the use of RBs might positively impact the problems faced by designers and developers for recovering information in an easier manner and thus they can develop tools focused on the user. Full article
(This article belongs to the Special Issue Smart Spaces and Ubiquitous Solutions)
Open AccessArticle Performance Evaluation of Multi-Channel Wireless Mesh Networks with Embedded Systems
Sensors 2012, 12(1), 500-517; doi:10.3390/s120100500
Received: 15 December 2011 / Revised: 2 January 2012 / Accepted: 2 January 2012 / Published: 5 January 2012
Cited by 3 | PDF Full-text (1114 KB) | HTML Full-text | XML Full-text
Abstract
Many commercial wireless mesh network (WMN) products are available in the marketplace with their own proprietary standards, but interoperability among the different vendors is not possible. Open source communities have their own WMN implementation in accordance with the IEEE 802.11s draft standard, Linux
[...] Read more.
Many commercial wireless mesh network (WMN) products are available in the marketplace with their own proprietary standards, but interoperability among the different vendors is not possible. Open source communities have their own WMN implementation in accordance with the IEEE 802.11s draft standard, Linux open80211s project and FreeBSD WMN implementation. While some studies have focused on the test bed of WMNs based on the open80211s project, none are based on the FreeBSD. In this paper, we built an embedded system using the FreeBSD WMN implementation that utilizes two channels and evaluated its performance. This implementation allows the legacy system to connect to the WMN independent of the type of platform and distributes the load between the two non-overlapping channels. One channel is used for the backhaul connection and the other one is used to connect to the stations to wireless mesh network. By using the power efficient 802.11 technology, this device can also be used as a gateway for the wireless sensor network (WSN). Full article
(This article belongs to the Special Issue Smart Spaces and Ubiquitous Solutions)
Open AccessArticle A Configurable Sensor Network Applied to Ambient Assisted Living
Sensors 2011, 11(11), 10724-10737; doi:10.3390/s111110724
Received: 4 October 2011 / Revised: 21 October 2011 / Accepted: 27 October 2011 / Published: 15 November 2011
Cited by 9 | PDF Full-text (245 KB) | HTML Full-text | XML Full-text
Abstract
The rising older people population has increased the interest in Ambient Assisted Living systems. This article presents a system for monitoring the disabled or older persons developed from an existing surveillance system. The modularity and adaptability characteristics of the system allow an easy
[...] Read more.
The rising older people population has increased the interest in Ambient Assisted Living systems. This article presents a system for monitoring the disabled or older persons developed from an existing surveillance system. The modularity and adaptability characteristics of the system allow an easy adaptation for a different purpose. The proposed system uses a network of sensors capable of motion detection that includes fall warning, identification of persons and a configurable control system which allows its use in different scenarios. Full article
(This article belongs to the Special Issue Smart Spaces and Ubiquitous Solutions)
Open AccessArticle UniDA: Uniform Device Access Framework for Human Interaction Environments
Sensors 2011, 11(10), 9361-9392; doi:10.3390/s111009361
Received: 20 August 2011 / Revised: 23 September 2011 / Accepted: 23 September 2011 / Published: 29 September 2011
Cited by 14 | PDF Full-text (3126 KB) | HTML Full-text | XML Full-text
Abstract
Human interaction environments (HIE) must be understood as any place where people carry out their daily life, including their work, family life, leisure and social life, interacting with technology to enhance or facilitate the experience. The integration of technology in these environments has
[...] Read more.
Human interaction environments (HIE) must be understood as any place where people carry out their daily life, including their work, family life, leisure and social life, interacting with technology to enhance or facilitate the experience. The integration of technology in these environments has been achieved in a disorderly and incompatible way, with devices operating in isolated islands with artificial edges delimited by the manufacturers. In this paper we are presenting the UniDA framework, an integral solution for the development of systems that require the integration and interoperation of devices and technologies in HIEs. It provides developers and installers with a uniform conceptual framework capable of modelling an HIE, together with a set of libraries, tools and devices to build distributed instrumentation networks with support for transparent integration of other technologies. A series of use case examples and a comparison to many of the existing technologies in the field has been included in order to show the benefits of using UniDA. Full article
(This article belongs to the Special Issue Smart Spaces and Ubiquitous Solutions)

Journal Contact

MDPI AG
Sensors Editorial Office
St. Alban-Anlage 66, 4052 Basel, Switzerland
sensors@mdpi.com
Tel. +41 61 683 77 34
Fax: +41 61 302 89 18
Editorial Board
Contact Details Submit to Sensors
Back to Top