Scheduling and Congestion Control for Wireless Internet [electronic resource] /by Xin Wang.
by Wang, Xin [author.]; SpringerLink (Online service).
Material type:
BookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: New York, NY : Springer New York : 2014.Description: X, 53 p. 7 illus. online resource.ISBN: 9781461484202.Subject(s): Computer science | Computer Communication Networks | Mathematical optimization | Telecommunication | Computer Science | Computer Communication Networks | Communications Engineering, Networks | OptimizationDDC classification: 004.6 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | TK5105.5-5105.9 (Browse shelf) | Available |
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| TK5105.5-5105.9 Internet Resource Pricing Models | RC261-271 Molecular Pathogenesis of Colorectal Cancer | RC705-779 Global Climate Change and Public Health | TK5105.5-5105.9 Scheduling and Congestion Control for Wireless Internet | QA276-280 Applied Statistics for Business and Management using Microsoft Excel | RC870-923.2 Practical Pelvic Floor Ultrasonography | RB1-214 Central Nervous System Intraoperative Cytopathology |
Introduction -- Joint Congestion Control and Link Scheduling for Internet with Cellular Wireless Links -- Joint Congestion Control and Link Scheduling for Internet with Ad-Hoc Wireless Links -- Generalizations and Interesting Directions -- Summary.
This brief proposes that the keys to internet cross-layer optimization are the development of non-standard implicit primal-dual solvers for underlying optimization problems, and design of jointly optimal network protocols as decomposition of such solvers. Relying on this novel design-space oriented approach, the author develops joint TCP congestion control and wireless-link scheduling schemes for wireless applications over Internet with centralized and distributed (multi-hop) wireless links. Different from the existing solutions, the proposed schemes can be asynchronously implemented without message passing among network nodes; thus they are readily deployed with current infrastructure. Moreover, global convergence/stability of the proposed schemes to optimal equilibrium is established using the Lyapunov method in the network fluid model. Simulation results are provided to evaluate the proposed schemes in practical networks.
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