Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem-Reference-Cited by-同舟云学术

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Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem

Published:2021-11-03 Issue: Volume: Page:
ISSN:
Container-title:2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)
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Author:

Gelenbe Erol,Nakip Mert,Marek Dariusz,Czachorski Tadeusz

Funder

European Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9614238/9614259/09614289.pdf?arnumber=9614289

Cited by 11 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. Performance Evaluation of Asynchronous Pulse Code Multiple Access in Massive IoT Networks;IEEE Access;2024

2. A Detailed Review on Enhancing the Security in Internet of Things-Based Smart City Environment Using Machine Learning Algorithms;IEEE Access;2024

3. Distributed Bayesian Inference for Large-Scale IoT Systems;Big Data and Cognitive Computing;2023-12-19

4. Scaling A Blockchain System With Layered Architecture;2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet);2023-12-11

5. Protecting IoT Servers Against Flood Attacks with the Quasi Deterministic Transmission Policy;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

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