Name
Abstract | ||
|---|---|---|
Congestion control and the associated issue of stability of communication networks have attracted considerable atten- tion recently. The resulting problems are extremely diffi- cult to solve due to the presence of several sources of time- varying delays. Due mainly to the fact that the ensuing mod- els are non-trivial, most existing work relies on simplified piecewise time-invariant models to describe these network delays. This however may not capture important aspects of network behavior especially when dealing with high-speed networks. Study of such networks requires a better under- standing of the dynamics of time-varying delays encoun- tered in discrete-time systems. In this paper, we identify and propose the models for two distinctly different types of such delays. These models can accommodate network- and application-specific delay variations; their flexibility is demonstrated in a distributed sensor network setting. A sta- bility result that accounts for time-varying delays and non- linearities of the type one typically encounters in high-speed communication networks is also presented. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ACC.2001.946262 | American Control Conference, 2001. Proceedings of the 2001 |
Keywords | DocType | Volume |
Markov processes,asymptotic stability,delays,discrete time systems,stochastic systems,telecommunication congestion control,time-varying systems,asymptotic stability,congestion control,discrete-time systems,distributed sensor network,exponential stability,high-speed networks,network behavior,time-varying delays | Conference | 5 |
ISSN | ISBN | Citations |
0743-1619 | 0-7803-6495-3 | 1 |
PageRank | References | Authors |
0.36 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ekanayake, M.M. | 1 | 1 | 0.36 |
| Premaratne, K. | 2 | 1 | 0.36 |
| Douligeris, C. | 3 | 5 | 1.82 |