113,75 €
126,39 €
-10% with code: EXTRA
Future Mobile Transport Protocols
Future Mobile Transport Protocols
113,75
126,39 €
  • We will send in 10–14 business days.
Thomas Pötsch investigates the channel properties of cellular networks and analyzes the effects that cause inefficient performance of legacy congestion control protocols, such as TCP and its variants, on cellular networks. Inspired by the findings, a novel delay-based congestion control protocol called Verus is proposed and evaluated across a variety of network scenarios. Furthermore, the author develops a stochastic two-dimensional discrete-time Markov modeling approach that dramatically simp…
  • Publisher:
  • Year: 2016
  • Pages: 195
  • ISBN-10: 3658148144
  • ISBN-13: 9783658148140
  • Format: 14.8 x 21 x 1.2 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Future Mobile Transport Protocols (e-book) (used book) | bookbook.eu

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Thomas Pötsch investigates the channel properties of cellular networks and analyzes the effects that cause inefficient performance of legacy congestion control protocols, such as TCP and its variants, on cellular networks. Inspired by the findings, a novel delay-based congestion control protocol called Verus is proposed and evaluated across a variety of network scenarios. Furthermore, the author develops a stochastic two-dimensional discrete-time Markov modeling approach that dramatically simplifies the understanding of delay-based congestion control protocols.

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  • Author: Thomas Pötsch
  • Publisher:
  • Year: 2016
  • Pages: 195
  • ISBN-10: 3658148144
  • ISBN-13: 9783658148140
  • Format: 14.8 x 21 x 1.2 cm, minkšti viršeliai
  • Language: English English

Thomas Pötsch investigates the channel properties of cellular networks and analyzes the effects that cause inefficient performance of legacy congestion control protocols, such as TCP and its variants, on cellular networks. Inspired by the findings, a novel delay-based congestion control protocol called Verus is proposed and evaluated across a variety of network scenarios. Furthermore, the author develops a stochastic two-dimensional discrete-time Markov modeling approach that dramatically simplifies the understanding of delay-based congestion control protocols.

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