On optimal periodic sensor scheduling for field estimation in wireless sensor networks

Sijia Liu, Makan Fardad, Engin Masazade, Pramod K. Varshney

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

2 Scopus citations

Abstract

We consider the problem of finding the optimal time-periodic sensor schedule for field estimation in wireless sensor networks. The sensors are subject to resource constraints in the form of a limit on the number of times each sensor can be activated over one period. A correspondence between active sensors and the nonzero columns of the estimator gain matrix is established. We formulate an optimization problem which seeks the optimal periodic estimator gain matrix that minimizes the error covariance over one period, subject to the sensor resource constraints. The optimization problem is combinatorial in nature, and we apply the alternating direction method of multipliers (ADMM) to find its locally optimal solutions. Numerical results are provided to illustrate the effectiveness of the proposed method.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages137-140
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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    Liu, S., Fardad, M., Masazade, E., & Varshney, P. K. (2013). On optimal periodic sensor scheduling for field estimation in wireless sensor networks. In 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings (pp. 137-140). [6736834] (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings). https://doi.org/10.1109/GlobalSIP.2013.6736834