Presentation 2010-10-29
Low Complexity Location Estimation with Switching between Least Square and Maximum Likelihood Estimation by Comparison of Received Signal Strength
Koichi MIYAUCHI, Eiji OKAMOTO, Yasunori IWANAMI,
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Abstract(in English) In the location estimation using the sensor network, least square method (LS) and maximum likelihood estimation (ML) is general as location estimation method measuring the received signal strength (RSS) of devices that construct the sensor network. In this paper, we propose new method by adaptive switching between these methods with different location estimation accuracy and complexity. Then, our proposed method is evaluated with computer simulation.
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Keyword(in English) Sensor network / Location Estimation / Received Signal Strength (RSS) / Least Square Method (LS) / Maximum Likelihood Estimation (ML) / Low Complexity
Paper # USN2010-36
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Conference Date 2010/10/21(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) Low Complexity Location Estimation with Switching between Least Square and Maximum Likelihood Estimation by Comparison of Received Signal Strength
Sub Title (in English)
Keyword(1) Sensor network
Keyword(2) Location Estimation
Keyword(3) Received Signal Strength (RSS)
Keyword(4) Least Square Method (LS)
Keyword(5) Maximum Likelihood Estimation (ML)
Keyword(6) Low Complexity
1st Author's Name Koichi MIYAUCHI
1st Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology()
2nd Author's Name Eiji OKAMOTO
2nd Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology
3rd Author's Name Yasunori IWANAMI
3rd Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology
Date 2010-10-29
Paper # USN2010-36
Volume (vol) vol.110
Number (no) 254
Page pp.pp.-
#Pages 5
Date of Issue