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

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

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

2 Citations (Scopus)

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 -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)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsM A Marcus, B Cullshaw
Pages220-228
Number of pages9
Volume4578
DOIs
StatePublished - 2001
EventFiber Optic Sensor Technology and Applications 2001 - Newton, MA, United States
Duration: Oct 30 2001Nov 1 2001

Other

OtherFiber Optic Sensor Technology and Applications 2001
CountryUnited States
CityNewton, MA
Period10/30/0111/1/01

Fingerprint

resource allocation
congestion
Sensor networks
Resource allocation
sensors
resources
controllers
Controllers
buffers
resources management
data links
viability
norms
Feedback
nonlinearity

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Zhang, J., Kulasekere, E. C., Premaratne, K., & Bauer, P. H. (2001). Resource allocation and congestion control in task-oriented distributed sensor networks. In M. A. Marcus, & B. Cullshaw (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4578, pp. 220-228) https://doi.org/10.1117/12.456076

Resource allocation and congestion control in task-oriented distributed sensor networks. / Zhang, J.; Kulasekere, E. C.; Premaratne, Kamal; Bauer, P. H.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / M A Marcus; B Cullshaw. Vol. 4578 2001. p. 220-228.

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

Zhang, J, Kulasekere, EC, Premaratne, K & Bauer, PH 2001, Resource allocation and congestion control in task-oriented distributed sensor networks. in MA Marcus & B Cullshaw (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 4578, pp. 220-228, Fiber Optic Sensor Technology and Applications 2001, Newton, MA, United States, 10/30/01. https://doi.org/10.1117/12.456076
Zhang J, Kulasekere EC, Premaratne K, Bauer PH. Resource allocation and congestion control in task-oriented distributed sensor networks. In Marcus MA, Cullshaw B, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4578. 2001. p. 220-228 https://doi.org/10.1117/12.456076
Zhang, J. ; Kulasekere, E. C. ; Premaratne, Kamal ; Bauer, P. H. / Resource allocation and congestion control in task-oriented distributed sensor networks. Proceedings of SPIE - The International Society for Optical Engineering. editor / M A Marcus ; B Cullshaw. Vol. 4578 2001. pp. 220-228
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