Sensor scheduling for effective and energy efficient tracking in sensor networks

Jason A. Fuemmeler, Venugopal V. Veeravalli

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

Abstract

We study a tracking problem in sensor networks, in which the object being tracked moves along a random path through the network and the sensors switch between active and sleep states to conserve energy. We consider a sensor scheduling problem in which we assume that sensors can be woken arbitrarily at each time step. We formulate a design problem to optimize the tradeoff between energy consumption and tracking performance. We are unable to find an optimal solution to this problem. We propose several suboptimal strategies and explore their performance with numerical simulations. We identify which suboptimal solutions exhibit the best performance and indicate reasons why these solutions may be near optimal in the low tracking error regime.

Original languageEnglish (US)
Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages945-950
Number of pages6
ISBN (Print)1424414989, 9781424414987
DOIs
StatePublished - 2007
Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
Duration: Dec 12 2007Dec 14 2007

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Other

Other46th IEEE Conference on Decision and Control 2007, CDC
Country/TerritoryUnited States
CityNew Orleans, LA
Period12/12/0712/14/07

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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