Presentation 2011-01-21
Transmitted Data Size Reduction Method Based on Aggregation Model for Clustering Scheme
Hiroaki TAKA, Hideyuki UEAHARA, Takashi OHIRA,
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Abstract(in English) In wireless sensor networks, reducing the energy consumption of the whole network is one of the most important research topics. In this study, we define a data aggregation model that explains a relationship between the increased rate of entropy and the number of sensor nodes. Moreover, we propose a intermittent transmission method for clustering scheme. This method reduces energy consumption calculates the transmission probability of cluster-members within the cluster, based on the aggregation model, the number of sensor nodes and the threshold value. From simulation results, LEACH achieves a 59 percent reduction, and CLARIS realizes a 29 percent reduction of the number of transmissions.
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Keyword(in English) Sensor Networks / Aggregation Model / Energy Efficiency / Clustering
Paper # USN2010-66
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Conference Date 2011/1/13(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Transmitted Data Size Reduction Method Based on Aggregation Model for Clustering Scheme
Sub Title (in English)
Keyword(1) Sensor Networks
Keyword(2) Aggregation Model
Keyword(3) Energy Efficiency
Keyword(4) Clustering
1st Author's Name Hiroaki TAKA
1st Author's Affiliation Graduate School of Electronic and Information Engineering, Toyohashi University of Technology()
2nd Author's Name Hideyuki UEAHARA
2nd Author's Affiliation Department of Electrical and Electronic Information Engineering
3rd Author's Name Takashi OHIRA
3rd Author's Affiliation Department of Electrical and Electronic Information Engineering
Date 2011-01-21
Paper # USN2010-66
Volume (vol) vol.110
Number (no) 378
Page pp.pp.-
#Pages 6
Date of Issue