Local resource management of distributed sensor networks via static output feedback control

J. Zhang, K. Premaratne, P. H. Bauer

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

Avoidance of instability and congestion of task-oriented distributed sensor networks require a resource management scheme that is robust against time-varying network-induced delays caused by, for example, frequent and abrupt changes in the observed 'scene' in a highly dynamic environment. A convenient tool for its implementation is the so-called virtual per-flow framework which essentially decouples each incoming data link of a decision node. In this paper, the time-varying delays in each loop are accounted for by incorporating them as a time-varying F-norm bounded uncertainty. After converting the resulting uncertain discrete-time system into an equivalent scaled model without uncertainty, an LMI based static output feedback controller that establishes and maintains the allocated local resources - buffer set-point and bandwidth at each processing/decision node - is presented. Simulation results demonstrate the effectiveness of the proposed strategy.

Original languageEnglish (US)
Pages (from-to)III/25-III/28
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume3
StatePublished - Jan 1 2002
Event2002 IEEE International Symposium on Circuits and Systems - Phoenix, AZ, United States
Duration: May 26 2002May 29 2002

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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