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Maximizing the Probability of Message Delivery over Ever-changing Communication Scenarios in Tactical Networks
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  • Johannes Loevenich ,
  • Roberto Rigolin F. Lopes ,
  • Paulo H. Rettore ,
  • Sharath M. Eswarappa ,
  • Peter Sevenich
Johannes Loevenich
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Roberto Rigolin F. Lopes
Fraunhofer FKIE

Corresponding Author:[email protected]

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Paulo H. Rettore
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Sharath M. Eswarappa
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Peter Sevenich
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This letter introduces a stochastic model to maximize the probability of message delivery over ever-changing communication scenarios in tactical networks. Our model improves modern tactical systems implementing store-and-forward mechanisms organized in a hierarchy of layers for messages, IP packets and radios. The goal is to compute close to optimal parameters for a transport protocol by computing the optimum redundancy for the user data-flow to overcome packet loss during changes in the link data rate, including disconnections. Experiments in a VHF network illustrate the numerical results from our model using messages with different sizes over two patterns of data rate change.
Jun 2021Published in IEEE Networking Letters volume 3 issue 2 on pages 84-88. 10.1109/LNET.2021.3066536