AGRIC: Artificial-Intelligence-Based Green Routing for Industrial Cyber–Physical System Pertaining to Extreme Environment-Reference-Cited by-同舟云学术

AGRIC: Artificial-Intelligence-Based Green Routing for Industrial Cyber–Physical System Pertaining to Extreme Environment

Author:

Verma Sandeep¹^ORCID,Kaur Satnam²,Garg Sahil³^ORCID,Sharma Ajay K.⁴,Alrashoud Mubarak⁵^ORCID

Affiliation:

1. Bharti School of Telecommunications Technology and Management, Indian Institute of Technology Delhi, New Delhi, India

2. Department of Computer Science Engineering, Punjab Engineering College, Chandigarh, India

3. Electrical Engineering Department, école de Technologie Supérieure, Montreal, QC, Canada

4. Department of Computer Science, National Institute of Technology Delhi, New Delhi, India

5. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Funder

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference24 articles.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. An Energy Efficient Naïve Bayes-based Clustering Protocol for Wireless Sensor Network;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14