Presentation 2010-12-17
A filtering method considering DTN environments on high density sensor networks
Kenji MATSUO, Satoshi MATSUURA, Susumu TAKEUCHI, Yuuichi TERANISHI, Kazutoshi FUJIKAWA, Hideki SUNAHARA,
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Abstract(in English) Various kinds of sensors constantly generate a huge number of environmental data. It is noticed to gather these sensor data on DTN (Delay Tolerant Network). On DTN, we have to consider priority of sensor data, because network resources are limited (e.g., long network delay, narrow bandwidth) and it is difficult to send all sensor data. We propose a filtering mechanism getting sensor data priority on DTN consisted of wireless sensors and smart phones. Using our mechanism, we can reduce the amount of transfer data and gather effectively sensor data for user's queries.
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Keyword(in English) sensor networks / DTN / filtering
Paper # IA2010-59
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Committee IA
Conference Date 2010/12/10(1days)
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Registration To Internet Architecture(IA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A filtering method considering DTN environments on high density sensor networks
Sub Title (in English)
Keyword(1) sensor networks
Keyword(2) DTN
Keyword(3) filtering
1st Author's Name Kenji MATSUO
1st Author's Affiliation Nara Institute of Science and Technology()
2nd Author's Name Satoshi MATSUURA
2nd Author's Affiliation Nara Institute of Science and Technology:National Institute of Information and Communications Technology
3rd Author's Name Susumu TAKEUCHI
3rd Author's Affiliation National Institute of Information and Communications Technology:Osaka University
4th Author's Name Yuuichi TERANISHI
4th Author's Affiliation Osaka University:National Institute of Information and Communications Technology
5th Author's Name Kazutoshi FUJIKAWA
5th Author's Affiliation Nara Institute of Science and Technology:Osaka University
6th Author's Name Hideki SUNAHARA
6th Author's Affiliation Keio University
Date 2010-12-17
Paper # IA2010-59
Volume (vol) vol.110
Number (no) 349
Page pp.pp.-
#Pages 6
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