Graph Neural Networks for IoT Data Aggregation Scheduling-Reference-Cited by-同舟云学术

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Graph Neural Networks for IoT Data Aggregation Scheduling

Published:2024-05-06 Issue: Volume:31 Page:1-7
ISSN:
Container-title:NOMS 2024-2024 IEEE Network Operations and Management Symposium
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Author:

Vo Van-Vi¹,Raza Syed M.²,Le Duc-Tai³,Kim Moonseong⁴,Choo Hyunseung²

Affiliation:

1. Sungkyunkwan University,Convergence Research Institute,Suwon,South Korea

2. Sungkyunkwan University,Dept. of Electrical and Computer Engineering,Suwon,South Korea

3. Sungkyunkwan University,College of Computing and Informatics,Suwon,South Korea

4. Seoul Theological University,Dept. of IT Convergence Software,Bucheon,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574855/10574897/10575067.pdf?arnumber=10575067

Reference26 articles.

1. Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges

2. Big Data Challenges and Data Aggregation Strategies in Wireless Sensor Networks

3. Fast Aggregation Scheduling in Wireless Sensor Networks

4. Link Scheduling using Graph Neural Networks

5. Combinatorial optimization with graph convolutional networks and guided tree search;Li;Advances in neural information processing systems,2018

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