Presentation | 2014-07-17 A topology construction method for wireless sensor networks inspired by brain functional networks Shu ISHIKURA, Daichi KOMINAMI, Masayuki MURATA, |
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Abstract(in English) | Wireless sensor networks (WSNs) have attracted attentions because of its wide applicability. Various applications of WSNs have been developed, and a recent focus of researchers is on using WSNs for shared infrastructures, where various types of traffic occurs. In traditional WSNs, power-saving techniques are expected for a long period of operation time since nodes operate with limited battery. For future WSNs, achieving high communication efficiency while suppressing the power consumption is a very important issue. In this paper, we focus on topology construction in WSNs. In particular, we apply structural properties of human brain functional networks into a WSN topology, which adjust the balance of network cost and performance in the course of their evolution. We apply these properties to a topology construction method for WSNs, and show that the topology constructed by our proposal has high efficiency and robustness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | wireless sensor network / topology / brain functional network |
Paper # | IN2014-31 |
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Committee | IN |
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Conference Date | 2014/7/10(1days) |
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Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A topology construction method for wireless sensor networks inspired by brain functional networks |
Sub Title (in English) | |
Keyword(1) | wireless sensor network |
Keyword(2) | topology |
Keyword(3) | brain functional network |
1st Author's Name | Shu ISHIKURA |
1st Author's Affiliation | Graduate School of Information Science and Technology, Osaka University() |
2nd Author's Name | Daichi KOMINAMI |
2nd Author's Affiliation | Graduate School of Economics, Osaka University |
3rd Author's Name | Masayuki MURATA |
3rd Author's Affiliation | Graduate School of Information Science and Technology, Osaka University |
Date | 2014-07-17 |
Paper # | IN2014-31 |
Volume (vol) | vol.114 |
Number (no) | 139 |
Page | pp.pp.- |
#Pages | 6 |
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