Title page for etd-0624113-101415


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URN etd-0624113-101415
Author Shi-han Wen
Author's Email Address No Public.
Statistics This thesis had been viewed 5384 times. Download 245 times.
Department Communications Engineering
Year 2012
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Decentralized Parameter Estimation with Non-identical Censoring Interval
Date of Defense 2013-06-07
Page Count 41
Keyword
  • maximum likelihood estimation
  • mean squared error
  • distributed estimation
  • censoring scheme
  • Wireless sensor networks
  • Abstract In this thesis, we consider the distributed estimation problem in wireless sensor networks (WSNs). This work focuses on the censoring scheme, which has the ability of reducing the number of active sensor. We also discuss the issue regarding if the number of sensors is known to the fusion center. A WSN usually consists of a fusion center and some sensor nodes, in which the fusion center estimates the measurement transmitted from the nearby sensor nodes. The sensor nodes are battery powered devices, and hence they have limited power, limited radio communication range, and limited transmission bandwidth. In order to use the local processing and storage capabilities at the sensor nodes while extending battery life as well as finding more efficient ways of utilizing transmission resources, we employ the censoring scheme to reduce communication data when designing the distributed estimation method in WSNs. We compare the performance of the censoring scheme utilizing the identical censoring interval with the non-identical censoring intervals among sensors. Numerical simulations shows that utilizing the non-identical censoring interval can significantly improve the estimation performance. In addition, the improvement of the system performance where the number of sensors is known to FC is greater than the system where the number is unknown to FC when the non-identical censoring interval approach is utilized.
    Advisory Committee
  • Yu, Chao-Tang - chair
  • Chao-Kai Wen - co-chair
  • Wan-Jen Huang - co-chair
  • Tsang-Yi Wang - advisor
  • Files
  • etd-0624113-101415.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2013-07-24

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