Presentation 2009-07-13
An Efficient Flooding Scheme Using Chaotic Neural Networks in Wireless Sensor Networks
Tomoyuki SASAKI, Hidehiro NAKANO, Akihide UTANI, Arata MIYAUCHI, Hisao YAMAMOTO,
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Abstract(in English) Recently, Wireless Sensor Network (WSN) has been studied with a great amount of interests. In WSN, flooding is required for the dissemination of queries and event announcements. The original flooding causes the overlap problems. In the original flooding, each sensor node receiving a broadcast message forwards it to its neighbors, resulting in a lot of collisions and duplicate messages. For dense WSNs, the impact caused by the original flooding may be overwhelming. The original flooding may result in the reduced network lifetime. Therefore, the selection of forwarding nodes for the dissemination of queries and event announcements is needed to prolong the lifetime of WSNs. In this study, we use the Chaotic Neural Networks (CNN) to selection of forwarding nodes for the dissemination of queries and event announcements. We evaluate the applicability of CNNs by computer simulations and discuss its development potential.
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Keyword(in English) Wireless Sensor Network / Forwarding Node / Chaotic Neural Networks
Paper # NLP2009-27,NC2009-20
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Committee NC
Conference Date 2009/7/6(1days)
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Registration To Neurocomputing (NC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Efficient Flooding Scheme Using Chaotic Neural Networks in Wireless Sensor Networks
Sub Title (in English)
Keyword(1) Wireless Sensor Network
Keyword(2) Forwarding Node
Keyword(3) Chaotic Neural Networks
1st Author's Name Tomoyuki SASAKI
1st Author's Affiliation Tokyo City University()
2nd Author's Name Hidehiro NAKANO
2nd Author's Affiliation Tokyo City University
3rd Author's Name Akihide UTANI
3rd Author's Affiliation Tokyo City University
4th Author's Name Arata MIYAUCHI
4th Author's Affiliation Tokyo City University
5th Author's Name Hisao YAMAMOTO
5th Author's Affiliation Tokyo City University
Date 2009-07-13
Paper # NLP2009-27,NC2009-20
Volume (vol) vol.109
Number (no) 125
Page pp.pp.-
#Pages 4
Date of Issue