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Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing
Research article (Security and Communication Networks, 2022) · cited 23× · AI/ML
Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing
Summary
Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing is a scholarly article[1].
Key Facts
Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-vehicular-ad-hoc-networks-dynamic-behavior-by-integrating-game-theory-and-machine-learning-techniques-for-reli
MLA“Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-vehicular-ad-hoc-networks-dynamic-behavior-by-integrating-game-theory-and-machine-learning-techniques-for-reli.
BibTeX@misc{4ortxyz_enhancing-vehicular-ad-hoc-networks-dynamic-behavior-by-integrating-game-theory-and-machine-learning-techniques-for-reli_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-vehicular-ad-hoc-networks-dynamic-behavior-by-integrating-game-theory-and-machine-learning-techniques-for-reli}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing — https://4ort.xyz/entity/enhancing-vehicular-ad-hoc-networks-dynamic-behavior-by-integrating-game-theory-and-machine-learning-techniques-for-reli (retrieved 2026-05-24)
