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Proceedings Paper

Resource allocation and congestion control in task-oriented distributed sensor networks
Author(s): Jinsong Zhang; Ernst C. Kulasekere; Kamal Premaratne; Peter H. Bauer
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Paper Abstract

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(infinity )-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.

Paper Details

Date Published: 14 February 2002
PDF: 9 pages
Proc. SPIE 4578, Fiber Optic Sensor Technology and Applications 2001, (14 February 2002); doi: 10.1117/12.456076
Show Author Affiliations
Jinsong Zhang, Univ. of Miami (United States)
Ernst C. Kulasekere, Univ. of Moratuwa (United States)
Kamal Premaratne, Univ. of Miami (United States)
Peter H. Bauer, Univ. of Notre Dame (United States)


Published in SPIE Proceedings Vol. 4578:
Fiber Optic Sensor Technology and Applications 2001
Michael A. Marcus; Brian Culshaw, Editor(s)

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