An Intelligent Model to Quantify the Robustness of Tactical Systems to Unplanned Link Disconnections-Reference-Cited by-同舟云学术

An Intelligent Model to Quantify the Robustness of Tactical Systems to Unplanned Link Disconnections

Published:2022-03-28 Issue: Volume: Page:
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Container-title:2022 18th International Conference on the Design of Reliable Communication Networks (DRCN)
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Author:

Loevenich Johannes F.¹,Sergeev Aleksandr²,Rettore Paulo H. L.¹,Lopes Roberto Rigolin F.¹

Affiliation:

1. Fraunhofer FKIE,Communication Systems (KOM),Bonn,Germany

2. University of Bonn,Institute of Computer Science 4,Bonn,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9758003/9758008/09758021.pdf?arnumber=9758021

Reference23 articles.

1. Disconnection-resilient IP link-state routing for airborne networks

2. Segment Routing Based Traffic Scheduling for the Software-Defined Airborne Backbone Network

3. Modified dsr (pre-emptive) to reduce link breakage and routing overhead for manet using proactive route maintenance (prm);ramesh;Global Journal of Computer Science and Technology,2010

4. Mobility prediction algorithm to improve the routing performance in manet;vijayalaxmi;International Journal of Computer Science and Network Security (IJC-SNS),2014

5. Enhancing the performance of dsr routing protocol using link breakage prediction in vehicular ad hoc network;zahedi;International Journal of Computer Networks and Communications Security,2013

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