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 language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Editors | M A Marcus, B Cullshaw |
| Pages | 220-228 |
| Number of pages | 9 |
| Volume | 4578 |
| DOIs | |
| State | Published - 2001 |
| Event | Fiber Optic Sensor Technology and Applications 2001 - Newton, MA, United States Duration: Oct 30 2001 → Nov 1 2001 |
Other
| Other | Fiber Optic Sensor Technology and Applications 2001 |
|---|---|
| Country | United States |
| City | Newton, MA |
| Period | 10/30/01 → 11/1/01 |
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Keywords
- Delay system
- Distributed sensor network
- Robust control
- Uncertainty
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Resource allocation and congestion control in task-oriented distributed sensor networks
AU - Zhang, J.
AU - Kulasekere, E. C.
AU - Premaratne, Kamal
AU - Bauer, P. H.
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
KW - Delay system
KW - Distributed sensor network
KW - Robust control
KW - Uncertainty
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U2 - 10.1117/12.456076
DO - 10.1117/12.456076
M3 - Conference contribution
VL - 4578
SP - 220
EP - 228
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Marcus, M A
A2 - Cullshaw, B
ER -