Distributed Sensor Selection for Field Estimation

Sijia Liu, Sundeep Prabhakar Chepuri, Geert Leus, Alfred O. Hero

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

We study the sensor selection problem for field estimation, where a best subset of sensors is activated to monitor a spatially correlated random field. Different from most commonly used centralized selection algorithms, we propose a decentralized architecture where sensor selection can be carried out in a distributed way and by the sensors themselves. A decentralized approach is essential since each sensor has access only to the information (e.g., correlation) in its neighborhood. To make distributed optimization possible, we decompose the global cost function into local cost functions that require only the information in local neighborhoods of sensors. We then employ the alternating direction method of multipliers (ADMM) to solve the proposed sensor selection problem. In our algorithm, each sensor solves small-scale optimization problems, and communicates directly only with its immediate neighbors. Numerical results are provided to show the effectiveness of our approach.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages4257-4261
Number of pages5
ISBN (Electronic)978-1-5090-4117-6
DOIs
Publication statusPublished - 2017
EventICASSP 2017: 42nd IEEE International Conference on Acoustics, Speech and Signal Processing - The Internet of Signals - Hilton New Orleans Riverside, New Orleans, LA, United States
Duration: 5 Mar 20179 Mar 2017
Conference number: 42
http://www.ieee-icassp2017.org/

Conference

ConferenceICASSP 2017
Abbreviated titleICASSP
CountryUnited States
CityNew Orleans, LA
Period5/03/179/03/17
Internet address

Keywords

  • alternating direction method of multipliers
  • distributed optimization
  • field estimation
  • Sensor selection
  • sparsity

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  • Cite this

    Liu, S., Chepuri, S. P., Leus, G., & Hero, A. O. (2017). Distributed Sensor Selection for Field Estimation. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings (pp. 4257-4261). [7952959] IEEE. https://doi.org/10.1109/ICASSP.2017.7952959