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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Hlavní autoři:	Chen-Pin Yang, Chin-En Yen, Ing-Chau Chang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-10-01
Edice:	Sensors
Témata:	vehicle to everything (V2X) reinforcement learning Q-learning Software-Defined Network (SDN) Software-Defined Directional QGrid (SD-QGrid) source–destination directionality
On-line přístup:	https://www.mdpi.com/1424-8220/22/21/8222
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