Channel-aware quantization for decentralized BLUE via energy-constrained wireless sensor networks

Jwo-Yuh Wu*, Chiu Ju Chen, Ta-Sung Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Bit assignment for local sensor data quantization in the decentralized best-linear-unbiased-estimation (BLUE) scenario is widely addressed in the signal processing research for wireless sensor networks. When the timely knowledge of the instantaneous sensor noise variance (for implementing the BLUE fusion rule) is too costly to obtain, one plausible alternative is to exploit the associated statistical characterization. Related such proposals, however, do not explicitly take into account the communication link impairments such as channel fading. In this paper we extend the current results to the more realistic case when signal transmission is subject to the fading effect. We show that the optimal bit allocation problem can be reformulated in the form of convex optimization, and then derive an analytical solution. Through numerical simulation the proposed solution is seen to outperform the uniform energy allocation scheme.

Original languageEnglish
Title of host publicationProceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
DOIs
StatePublished - 1 Dec 2009
Event2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall - Anchorage, AK, United States
Duration: 20 Sep 200923 Sep 2009

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
CountryUnited States
CityAnchorage, AK
Period20/09/0923/09/09

Keywords

  • Best linear unbiased estimation
  • Convex optimization
  • Decentralized estimation
  • Quantization
  • Sensor networks

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  • Cite this

    Wu, J-Y., Chen, C. J., & Lee, T-S. (2009). Channel-aware quantization for decentralized BLUE via energy-constrained wireless sensor networks. In Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall [5379115] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECF.2009.5379115