Next Article in Journal
Modeling and Analysis of Micro-Spacecraft Attitude Sensing with Gyrowheel
Next Article in Special Issue
Virtualized MME Design for IoT Support in 5G Systems
Previous Article in Journal
Road Lane Detection by Discriminating Dashed and Solid Road Lanes Using a Visible Light Camera Sensor
Previous Article in Special Issue
A Self-Provisioning Mechanism in OpenStack for IoT Devices
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(8), 1323; doi:10.3390/s16081323

Virtual Wireless Sensor Networks: Adaptive Brain-Inspired Configuration for Internet of Things Applications

1
Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan
2
Graduate School of Economics, Osaka University, Osaka 560-0043, Japan
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Ingrid Moerman, Jeroen Hoebeke and Eli De Poorter
Received: 29 June 2016 / Revised: 2 August 2016 / Accepted: 17 August 2016 / Published: 19 August 2016
(This article belongs to the Special Issue Intelligent Internet of Things (IoT) Networks)
View Full-Text   |   Download PDF [574 KB, uploaded 19 August 2016]   |  

Abstract

Many researchers are devoting attention to the so-called “Internet of Things” (IoT), and wireless sensor networks (WSNs) are regarded as a critical technology for realizing the communication infrastructure of the future, including the IoT. Against this background, virtualization is a crucial technique for the integration of multiple WSNs. Designing virtualized WSNs for actual environments will require further detailed studies. Within the IoT environment, physical networks can undergo dynamic change, and so, many problems exist that could prevent applications from running without interruption when using the existing approaches. In this paper, we show an overall architecture that is suitable for constructing and running virtual wireless sensor network (VWSN) services within a VWSN topology. Our approach provides users with a reliable VWSN network by assigning redundant resources according to each user’s demand and providing a recovery method to incorporate environmental changes. We tested this approach by simulation experiment, with the results showing that the VWSN network is reliable in many cases, although physical deployment of sensor nodes and the modular structure of the VWSN will be quite important to the stability of services within the VWSN topology. View Full-Text
Keywords: virtual topology; human-brain network; routing; hierarchical modular structure; small-world properties virtual topology; human-brain network; routing; hierarchical modular structure; small-world properties
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Toyonaga, S.; Kominami, D.; Murata, M. Virtual Wireless Sensor Networks: Adaptive Brain-Inspired Configuration for Internet of Things Applications. Sensors 2016, 16, 1323.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top