Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm

Wireless mesh networks are popular due to their adaptability, easy-setup, flexibility, cost, and transmission time-reductions. The routing algorithm plays a vital role in transferring the data between the nodes. The network’s performance is significantly impacted by the route opted by the alg...

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Główni autorzy:	Smita Mahajan, R. Harikrishnan, Ketan Kotecha
Format:	Artigo
Język:	Inglês
Wydane:	IEEE 2022-01-01
Seria:	IEEE Access
Hasła przedmiotowe:	Deep Learning reinforcement learning Q-learning Markov decision process Routing Algorithms Wireless Mesh Networks
Dostęp online:	https://ieeexplore.ieee.org/document/9906058/
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