Location Updating Scheme of Sink Node Based on Topology Balance and Reinforcement Learning in WSN

Location Updating Scheme of Sink Node Based on Topology Balance and Reinforcement Learning in WSN

This paper proposes a scheme for updating the location of the sink node to balance the network topology when a wireless sensor network (WSN) is scaled up. We divide the proposed location update scheme into two steps, namely, searching the optimal location and designing the pathfinding algorithm. For...

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Bibliographic Details
Main Authors: Xindi Wang, Qingfeng Zhou, Chunxiao Qu, Gao Chen, Junjuan Xia
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Network scaling
location update
pathfinding
reinforcement learning
wireless sensor network
Online Access:https://ieeexplore.ieee.org/document/8766792/

Internet

https://ieeexplore.ieee.org/document/8766792/

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