How Fresh is the Data? An Optimal Learning-Based End-to-End Pull-Based Forwarding Framework for NDNoTs-Reference-Cited by-同舟云学术

How Fresh is the Data? An Optimal Learning-Based End-to-End Pull-Based Forwarding Framework for NDNoTs

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems
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Author:

Buchipalli Tharakeswararaju¹^ORCID,Mahendran V.¹^ORCID,Badarla Venkataramana¹^ORCID

Affiliation:

1. Indian Institute of Technology Tirupati, Tirupati, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616388.3617552

Reference8 articles.

1. Emmanuel Baccelli Christian Mehlis Oliver Hahm Thomas C. Schmidt and Matthias Wählisch. 2014. Information centric networking in the IoT: Experiments with NDN in the wild. Emmanuel Baccelli Christian Mehlis Oliver Hahm Thomas C. Schmidt and Matthias Wählisch. 2014. Information centric networking in the IoT: Experiments with NDN in the wild.

2. Optimizing Age of Information in Wireless Networks with Throughput Constraints

3. Intermittently-connected IoT devices: Experiments with an NDN-DTN architecture

4. Alexander Afanasyev , Junxiao Shi , Beichuan Zhang , Lixia Zhang , Ilya Moiseenko , Yingdi Yu , Wentao Shang , Yi Huang , Jerald Paul Abraham , Steve DiBenedetto, et al. 2021 . NFD de veloper's guide. https://named-data.net/publications/techreports/ndn0021--11-nfd-guide. Alexander Afanasyev, Junxiao Shi, Beichuan Zhang, Lixia Zhang, Ilya Moiseenko, Yingdi Yu, Wentao Shang, Yi Huang, Jerald Paul Abraham, Steve DiBenedetto, et al. 2021. NFD developer's guide. https://named-data.net/publications/techreports/ndn0021--11-nfd-guide.

5. liteNDN: QoS-Aware Packet Forwarding and Caching for Named Data Networks