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Sensor scheduling for communication resource minimization in in centralized state estimation

  • Hong Kong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We study centralized state estimation in this paper. A group of sensors measure the state of a process and transmit the measurements to a remote estimator. We consider sensor communication scheduling to minimize the communication resources and at the same time guarantee a desired level of remote estimation quality. We consider both deterministic and stochastic scheduling and provide numerical algorithms to give suboptimal solutions.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Information and Automation, ICIA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1166-1171
Number of pages6
ISBN (Electronic)9781479941001
DOIs
StatePublished - 21 Oct 2014
Externally publishedYes
Event2014 IEEE International Conference on Information and Automation, ICIA 2014 - Hailar, Hulunbuir, China
Duration: 28 Jul 2014 → 30 Jul 2014

Publication series

Name2014 IEEE International Conference on Information and Automation, ICIA 2014

Conference

Conference2014 IEEE International Conference on Information and Automation, ICIA 2014
Country/TerritoryChina
CityHailar, Hulunbuir
Period28/07/14 → 30/07/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy Consumption
  • Lifetime maximization
  • Modified algebraic Riccati equation
  • Networked state estimation
  • Sensor scheduling
  • Stochastic scheduling

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