Non-myopic sensor scheduling for a centralized sensor network

Himanshu Shah, Darryl Morrell

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

1 Scopus citations

Abstract

When tracking a target in a sensor network with constrained resources, the target state estimate error can be significantly reduced using non-myopic sensor scheduling strategies. Integer non-linear programming has been used to obtain myopic sensor schedules [1]. In this paper, we apply it to a non-myopic sensor scheduling scenario consisting of a network of acoustic sensors in a centralized sensor network; there is one fusion center that combines measurements to update target belief. We cast this problem, which we call the Central Node Scheduling problem, as an integer non-linear programming problem with the objective of minimizing the total predicted tracking error over an M step planning horizon subject to sensor usage and start-up cost constraints. Using Monte Carlo simulations, we show the benefits of this approach for the centralized sensor network.

Original languageEnglish (US)
Title of host publicationSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Pages275-278
Number of pages4
DOIs
StatePublished - Oct 6 2008
EventSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop - Darmstadt, Germany
Duration: Jul 21 2008Jul 23 2008

Publication series

NameSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

Other

OtherSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
CountryGermany
CityDarmstadt
Period7/21/087/23/08

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Shah, H., & Morrell, D. (2008). Non-myopic sensor scheduling for a centralized sensor network. In SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop (pp. 275-278). [4606871] (SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop). https://doi.org/10.1109/SAM.2008.4606871