Sparsity-promoting sensor management for estimation

An energy balance point of view

Sijia Liu, Feishe Chen, Aditya Vempaty, Makan Fardad, Lixin Shen, Pramod Kumar Varshney

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

5 Citations (Scopus)

Abstract

In the context of parameter estimation, we study the problem of sensor management under a sparsity-promoting framework, where a sensor being off at a certain time instant is represented by the corresponding column of the estimator coefficient matrix being identically zero. In order to achieve a balance between activating the most informative sensors and uniformly allocating sensor energy, we propose a novel sparsity-promoting approach by adding an ℓ2-norm penalty function that discourages successive selections of the same group of sensors. We employ the alternating direction method of multipliers (ADMM) to solve the resulting ℓ2-norm optimization problem, which can then be split into a sequence of analytically solvable subproblems. We finally provide numerical results and comparison with other sensor scheduling algorithms in the literature to demonstrate the effectiveness of our approach.

Original languageEnglish (US)
Title of host publication2015 18th International Conference on Information Fusion, Fusion 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages231-238
Number of pages8
ISBN (Print)9780982443866
StatePublished - Sep 14 2015
Event18th International Conference on Information Fusion, Fusion 2015 - Washington, United States
Duration: Jul 6 2015Jul 9 2015

Other

Other18th International Conference on Information Fusion, Fusion 2015
CountryUnited States
CityWashington
Period7/6/157/9/15

Fingerprint

Energy balance
Sensors
Scheduling algorithms
Parameter estimation

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Computer Networks and Communications

Cite this

Liu, S., Chen, F., Vempaty, A., Fardad, M., Shen, L., & Varshney, P. K. (2015). Sparsity-promoting sensor management for estimation: An energy balance point of view. In 2015 18th International Conference on Information Fusion, Fusion 2015 (pp. 231-238). [7266567] Institute of Electrical and Electronics Engineers Inc..

Sparsity-promoting sensor management for estimation : An energy balance point of view. / Liu, Sijia; Chen, Feishe; Vempaty, Aditya; Fardad, Makan; Shen, Lixin; Varshney, Pramod Kumar.

2015 18th International Conference on Information Fusion, Fusion 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 231-238 7266567.

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

Liu, S, Chen, F, Vempaty, A, Fardad, M, Shen, L & Varshney, PK 2015, Sparsity-promoting sensor management for estimation: An energy balance point of view. in 2015 18th International Conference on Information Fusion, Fusion 2015., 7266567, Institute of Electrical and Electronics Engineers Inc., pp. 231-238, 18th International Conference on Information Fusion, Fusion 2015, Washington, United States, 7/6/15.
Liu S, Chen F, Vempaty A, Fardad M, Shen L, Varshney PK. Sparsity-promoting sensor management for estimation: An energy balance point of view. In 2015 18th International Conference on Information Fusion, Fusion 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 231-238. 7266567
Liu, Sijia ; Chen, Feishe ; Vempaty, Aditya ; Fardad, Makan ; Shen, Lixin ; Varshney, Pramod Kumar. / Sparsity-promoting sensor management for estimation : An energy balance point of view. 2015 18th International Conference on Information Fusion, Fusion 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 231-238
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