Deep Reinforcement Learning-Based Multi-Hop State-Aware Routing Strategy for Wireless Sensor Networks

Deep Reinforcement Learning-Based Multi-Hop State-Aware Routing Strategy for Wireless Sensor Networks

With the development of wireless sensor network technology, the routing strategy has important significance in the Internet of Things. An efficient routing strategy is one of the fundamental technologies to ensure the correct and fast transmission of wireless sensor networks. In this paper, we study...

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Bibliografiska uppgifter
Huvudupphovsmän: Aiqi Zhang, Meiyi Sun, Jiaqi Wang, Zhiyi Li, Yanbo Cheng, Cheng Wang
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2021-05-01
Serie:Applied Sciences
Ämnen:
multi-hop state-aware
traffic flow prediction
deep reinforcement learning
wireless sensor networks
Länkar:https://www.mdpi.com/2076-3417/11/10/4436

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