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Open AccessArticle

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

by Shinya Toyonaga 1,*,†, Daichi Kominami 2,† and Masayuki Murata 1,†
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
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Ingrid Moerman, Jeroen Hoebeke and Eli De Poorter
Sensors 2016, 16(8), 1323; https://doi.org/10.3390/s16081323
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)
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
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Toyonaga, S.; Kominami, D.; Murata, M. Virtual Wireless Sensor Networks: Adaptive Brain-Inspired Configuration for Internet of Things Applications. Sensors 2016, 16, 1323.

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