Work

Maximizing the Probability of Message Delivery Over Ever-Changing Communication Scenarios in Tactical Networks

Year: 2021

Type: article

Abstract: 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.

Source: IEEE Networking Letters

DOI: 10.1109/lnet.2021.3066536

Authors: Johannes F. Loevenich, Roberto Rigolin F. Lopes, Paulo H. Rettore, Sharath M. Eswarappa, Peter Sevenich

Institutions: University of Bonn, Fraunhofer Institute for Communication, Information Processing and Ergonomics

Language: English

Topic: Mobile Ad Hoc Networks

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,045

Funders: Bundesamt für Ausrüstung, Informationstechnik und Nutzung der Bundeswehr, Wehrtechnische Dienststelle für Informationstechnologie und Elektronik