Exhibit Information

Company Introduction

Network Engineering Laboratory, Faculty of Environmental and Urban Engineering, Kansai University is reaching the mechanism of wireless sensor network that adapts to diverse environments with self-organizing and swarm intelligence.
We demonstrate 3-dimensional self-organizing localization (SOL) for wireless sensor networks and its effectiveness.
Internet-of-Things aims to provide new type services by using physical information which the wireless sensor networks (WSNs) acquire from the real world, and it needs the location of sensor node as location where the physical information is acquired. But, current localization for WSNs needs add-on devices or needs add-on facilities, and then the space where they can work well is limited. SOL solves these issues, and provides high precise 3-dimensional location in any space without add-on devices and facilities.

Exhibiting Products

Exhibiting Products 1

3-dimensional Self-Organizing Localization (SOL) for wireless sensor networks

Internet-of-Things aims to provide new type services by using physical information which the wireless sensor networks (WSNs) acquire from the real world, and it needs the location of sensor node as location where the physical information is acquired. But, current localization for WSNs needs add-on devices or needs add-on facilities, and then the space where they can work well is limited. The Self-Organizing Localization (SOL) solves these issues, and provides high precise 3-dimensional location in any space without add-on devices and facilities.
SOL applies Self-Organizing Maps (SOM) to wireless sensor networks, and estimates node location as follows (show the downward figure. The white dot is a sensor node, their number is 150. The square is a anchor node, their number is 3. The blue and red lines are wireless links)
・Initially, every nodes have a random location.
・Each node exchanges its location and its relation (hop count) of neighbor nodes.
・Each node updates its location based on the relation of neighbor nodes
・Each node repeats the above exchanging and updating, and then the population of node generates the original geometry of the wireless sensor network.
Therefore, SOL can autonomously estimate the node location without add-on devices and facilities. Furthermore, SOL has a high tolerance to obstacle because of using the relation between nodes, and it increases the precision of node location according as a number of nodes increases, thus SOL can estimate the precise location of hundreds of nodes with a few anchor nodes in any space.

Contact Information

Address

〒564-8680  3-3-35 Yamate-cho, Suita-shi, Osaka

URL

http://netlab.urbansystem.kansai-u.ac.jp

Person Job Title

Faculty of Environmental and Urban Engineering

Person in charge

Yasuhisa Takizawa

TEL

06-6368-0980

FAX

050-3383-4312

Email 1

takizawa@kansai-u.ac.jp

PR Contact Information

Address

〒564-8680 3-3-35 Yamate-cho, Suita-shi, Osaka

URL

http://netlab.urbansystem.kansai-u.ac.jp

Person Job Title

Faculty of Environmental and Urban Engineering

Person in charge

Yasuhisa Takizawa

TEL

06-6368-0980

FAX

050-3383-4312

Email 1

takizawa@kansai-u.ac.jp

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