Work

Energy-Efficient Tactile-Driven Rule Configuration and Anomaly Detection in Industrial IoT Systems

Year: 2025

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2025.3541641

Authors: Lizhuang Tan, Amritpal Singh, Wei Zhang, Hongjuan Pei, Peiying Zhang, Prabhjot Kaur Chahal, Maninderpal Singh

Institutions: Qilu University of Technology, Shandong Academy of Sciences, National Supercomputing Center in Jinan, Northumbria University, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China University of Petroleum, East China, Chandigarh University, Southern Methodist University

Language: English

Topic: Software-Defined Networks and 5G

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, National Research Foundation of Korea, Natural Science Foundation of Shandong Province

Awards: G1243207644, G1395643053, G2360315967, G3197070415, G4348995385, G474150285, G8308229654

OpenAlex ID: W4407449801

FWCI: 0.871

Cites: 18

Cited by: 2

Related to: 10