Paper
14 February 2002 Resource allocation and congestion control in task-oriented distributed sensor networks
Jinsong Zhang, Ernst C. Kulasekere, Kamal Premaratne, Peter H. Bauer
Author Affiliations +
Proceedings Volume 4578, Fiber Optic Sensor Technology and Applications 2001; (2002) https://doi.org/10.1117/12.456076
Event: Environmental and Industrial Sensing, 2001, Boston, MA, United States
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinsong Zhang, Ernst C. Kulasekere, Kamal Premaratne, and Peter H. Bauer "Resource allocation and congestion control in task-oriented distributed sensor networks", Proc. SPIE 4578, Fiber Optic Sensor Technology and Applications 2001, (14 February 2002); https://doi.org/10.1117/12.456076
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Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Data modeling

Control systems

Sensor networks

Feedback control

Chemical elements

Atrial fibrillation

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