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

Author:

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

Funder

BAAINBw Federal Office of Bundeswehr Equipment Information Technology and InService Support

WTD81 Bundeswehr Technical Center for Information Technology and Electronics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Economics, Econometrics and Finance

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DRL meets GNN to improve QoS in Tactical MANETs;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

2. Cooperative Agent System for Quantifying Link Robustness in Tactical Networks;MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM);2023-10-30

3. Mobility Prediction at the Tactical Edge: A Handover for Centralized/Decentralized Networks;2023 International Conference on Military Communications and Information Systems (ICMCIS);2023-05-16

4. Adversarial Attacks Against Reinforcement Learning Based Tactical Networks: A Case Study;MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM);2022-11-28

5. Towards Software-Defined Tactical Networks: Experiments and Challenges for Control Overhead;MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM);2022-11-28

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