A Software-Defined Directional Q-Learning Grid-Based Routing Platform and Its Two-Hop Trajectory-Based Routing Algorithm for Vehicular Ad Hoc Networks

Dealing with the packet-routing problem is challenging in the V2X (Vehicle-to-Everything) network environment, where it suffers from the high mobility of vehicles and varied vehicle density at different times. Many related studies have been proposed to apply artificial intelligence models, such as Q...

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Główni autorzy:	Chen-Pin Yang, Chin-En Yen, Ing-Chau Chang
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2022-10-01
Seria:	Sensors
Hasła przedmiotowe:	vehicle to everything (V2X) reinforcement learning Q-learning Software-Defined Network (SDN) Software-Defined Directional QGrid (SD-QGrid) source–destination directionality
Dostęp online:	https://www.mdpi.com/1424-8220/22/21/8222
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