Maximizing the probability of message delivery over ever-changing communication scenarios in tactical networks

被引：8

作者：

Loevenich, Johannes F. ^{[1
,2
]}

Lopes, Roberto Rigolin F. ^{[1
]}

Rettore, Paulo H. ^{[1
]}

Eswarappa, Sharath M. ^{[1
,2
]}

Sevenich, Peter ^{[1
]}

机构：

[1] Communication Systems Department (KOM), Fraunhofer FKIE, Bonn

[2] The Institute of Computer Science 4, University of Bonn, Bonn

来源：

IEEE Networking Letters | 2021年 / 3卷 / 02期

关键词：

Ever-changing communication scenarios; message delivery; system robustness; tactical networks;

D O I：

10.1109/LNET.2021.3066536

中图分类号：

学科分类号：

摘要：

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 estimate 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. © 2019 IEEE.

引用

页码：84 / 88

页数：4

共 9 条

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[2]

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