Resource allocation and congestion control in task-oriented distributed sensor networks

J. Zhang, E. C. Kulasekere, K. Premaratne, P. H. Bauer

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Resource allocation and congestion control are two interrelated critical issues that arise in a task-oriented distributed sensor network. An effective resource management policy must account for these and their impact on the overall objectives of the network. In this paper, the viability of a 'virtual' per-flow framework for addressing both resource allocation and congestion control in an integrated environment is demonstrated. In this framework, the resources being allocated to a physical buffer at a decision node are established by allocating and maintaining certain 'virtual' resources to each incoming data flow. The virtual per-flow framework allows the design of controllers for each link independently of the others thus enabling a decoupled analysis and allowing one to incorporate different delay models and nonlinearities for each input data link. The effectiveness of the per-flow strategy is demonstrated via the design of a robust H-norm based feedback controller that ensures extremely good tracking of a dynamically changing set-point of a decision node buffer of a distributed sensor network. The design is robust against the time-varying and uncertain nature of network-induced delays.

Original languageEnglish (US)
Pages (from-to)220-228
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Dec 1 2001
EventFiber Optic Sensor Technology and Applications 2001 - Newton, MA, United States
Duration: Oct 30 2001Nov 1 2001


  • Delay system
  • Distributed sensor network
  • Robust control
  • Uncertainty

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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