Presentation | 2015-01-26 Optimal Sampling for Kalman Filtering by Sensor Network Based on Energy Consumption and Information Entropy Ken IMAI, Toshimitsu USHIO, |
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Abstract(in English) | We consider a sensor network that consists of a fusion center and a group of sensor nodes. The fusion center estimates the system state based on the data from the sensor nodes. As the number of sampling data increases, the entropy that is a measure of the uncertainty of the system state decreases. But, the number of sampling data increases, the energy consumption of the sensor network increases. There is a trade-off between the minimization of the entropy and the minimization of the energy consumption. We employs a weighted sum method to formulate this multi objective optimization problem as a single objective optimization problem. We solve the sampling schedule that achieves the optimal value of the single objective optimization problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Sensor networks / sampling schedule / Kalman filter / entropy / energy consumption |
Paper # | MSS2014-74,SS2014-38 |
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Committee | MSS |
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Conference Date | 2015/1/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Mathematical Systems Science and its applications(MSS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Optimal Sampling for Kalman Filtering by Sensor Network Based on Energy Consumption and Information Entropy |
Sub Title (in English) | |
Keyword(1) | Sensor networks |
Keyword(2) | sampling schedule |
Keyword(3) | Kalman filter |
Keyword(4) | entropy |
Keyword(5) | energy consumption |
1st Author's Name | Ken IMAI |
1st Author's Affiliation | Graduate school of Engineering Science, Osaka university() |
2nd Author's Name | Toshimitsu USHIO |
2nd Author's Affiliation | Graduate school of Engineering Science, Osaka university |
Date | 2015-01-26 |
Paper # | MSS2014-74,SS2014-38 |
Volume (vol) | vol.114 |
Number (no) | 415 |
Page | pp.pp.- |
#Pages | 6 |
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