Presentation 2012-10-05
A data gathering scheme in wireless sensor networks using a spiking neural network with local information
Ikki FUJITA, Hidehiro NAKANO, Arata MIYAUCHI,
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Abstract(in English) In WSNs, compact wireless sensor nodes are deployed in observation area, form an impromptu network and gather sensing data periodically. Thereby, the environmental observation of large-scale area can be realized remotely. In the synchronization-based data gathering scheme, transmission timings for sensing data are synchronized by using spiking neural oscillators. Using this scheme, the number of the transmissions and receptions, and node power consumption can be reduced. However, in the conventional scheme, the duplicate transmissions of the same sensing data by plural wireless sensor nodes should be improved. In this article, a new data gathering scheme reducing duplicate transmissions of sensing data is proposed. In the proposed scheme, simple local information is used for transmissions and receptions of sensing data. Then, the traffic of the whole network can be significantly reduced. In the simulation experiments, the effectiveness of the proposed scheme is verified.
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Keyword(in English) Wireless sensor networks / synchronization-based data gathering scheme / pulse-coupled oscillators
Paper # NC2012-54
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Conference Information
Committee NC
Conference Date 2012/9/27(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A data gathering scheme in wireless sensor networks using a spiking neural network with local information
Sub Title (in English)
Keyword(1) Wireless sensor networks
Keyword(2) synchronization-based data gathering scheme
Keyword(3) pulse-coupled oscillators
1st Author's Name Ikki FUJITA
1st Author's Affiliation Tokyo City University()
2nd Author's Name Hidehiro NAKANO
2nd Author's Affiliation Tokyo City University
3rd Author's Name Arata MIYAUCHI
3rd Author's Affiliation Tokyo City University
Date 2012-10-05
Paper # NC2012-54
Volume (vol) vol.112
Number (no) 227
Page pp.pp.-
#Pages 5
Date of Issue