Search Results for author: Hongbing Qiu

Found 4 papers, 2 papers with code

Intelligent multicast routing method based on multi-agent deep reinforcement learning in SDWN

no code implementations12 May 2023 Hongwen Hu, Miao Ye, Chenwei Zhao, Qiuxiang Jiang, Yong Wang, Hongbing Qiu, Xiaofang Deng

To enable each agent to accurately understand the current network state and the status of multicast tree construction, the state space of each agent is designed based on the traffic and multicast tree status matrices, and the set of AP nodes in the network is used as the action space.

Transfer Learning

A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks

1 code implementation26 Dec 2022 Miao Ye, Qinghao Zhang, Xingsi Xue, Yong Wang, Qiuxiang Jiang, Hongbing Qiu

Due to the issue that existing wireless sensor network (WSN)-based anomaly detection methods only consider and analyze temporal features, in this paper, a self-supervised learning-based anomaly node detection method based on an autoencoder is designed.

Anomaly Detection Self-Supervised Learning

A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network

no code implementations19 Feb 2022 Qinghao Zhang, Miao Ye, Hongbing Qiu, Yong Wang, Xiaofang Deng

Anomaly detection is widely used to distinguish system anomalies by analyzing the temporal and spatial features of wireless sensor network (WSN) data streams; it is one of critical technique that ensures the reliability of WSNs.

Anomaly Detection Time Series Analysis

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