Fast wireless sensor for anomaly detection based on data stream in an edge-computing-enabled smart greenhouse
Edge-computing-enabled smart greenhouses are a representative application of the Internet of Things (IoT) technology, which can monitor the environmental information in real-time and employ the information to contribute to intelligent decision-making. In the process, anomaly detection for wireless s...
Main Authors: | Yihong Yang, Sheng Ding, Yuwen Liu, Shunmei Meng, Xiaoxiao Chi, Rui Ma, Chao Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2022-08-01
|
Series: | Digital Communications and Networks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864821000948 |
Similar Items
-
Edge-Enhanced TempoFuseNet: A Two-Stream Framework for Intelligent Multiclass Video Anomaly Recognition in 5G and IoT Environments
by: Gulshan Saleem, et al.
Published: (2024-02-01) -
Anomaly Detection on Data Streams for Smart Agriculture
by: Juliet Chebet Moso, et al.
Published: (2021-11-01) -
An edge streaming data processing framework for autonomous driving
by: Hang Zhao, et al.
Published: (2021-04-01) -
Edge-based individualized anomaly detection in large-scale distributed solar farms
by: Ali Reza Sajun, et al.
Published: (2022-06-01) -
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
by: Muhammad Asif Khan, et al.
Published: (2022-01-01)