Scheduling and Congestion Control for Wireless Internet

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Wang, Xin (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
Σειρά:SpringerBriefs in Electrical and Computer Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Wang, Xin.  |e author. 
245 1 0 |a Scheduling and Congestion Control for Wireless Internet  |h [electronic resource] /  |c by Xin Wang. 
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300 |a X, 53 p. 7 illus.  |b online resource. 
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505 0 |a 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. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Computer communication systems. 
650 0 |a Mathematical optimization. 
650 0 |a Electrical engineering. 
650 1 4 |a Computer Science. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Optimization. 
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776 0 8 |i Printed edition:  |z 9781461484196 
830 0 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8112 
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950 |a Engineering (Springer-11647)