An Enhanced Energy Optimization Model for Industrial Wireless Sensor Networks Using Machine Learning-Reference-Cited by-同舟云学术

An Enhanced Energy Optimization Model for Industrial Wireless Sensor Networks Using Machine Learning

Published:2023 Issue: Volume:11 Page:96343-96362
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bagwari Ashish¹^ORCID,Logeshwaran J.²^ORCID,Usha K.³,Raju Kannadasan⁴^ORCID,Alsharif Mohammed H.⁵^ORCID,Uthansakul Peerapong⁶^ORCID,Uthansakul Monthippa⁶^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Women Institute of Technology, Uttarakhand Technical University, Sudhowala, India

2. Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, India

3. Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar (SSN) College of Engineering, Chennai, India

4. Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Chennai, India

5. Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul, Republic of Korea

6. School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand

Funder

Suranaree University of Technology (SUT) Research and Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10239155.pdf?arnumber=10239155

Reference39 articles.

1. Industrial big data analytics for cognitive Internet of Things: Wireless sensor networks, smart computing algorithms, and machine learning techniques;graessley;Anal Metaphys,2019

2. Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks

3. Latency and Lifetime Enhancements in Industrial Wireless Sensor Networks: A Q-Learning Approach for Graph Routing

4. Network Slicing for Industrial IoT and Industrial Wireless Sensor Network: Deep Federated Learning Approach and Its Implementation Challenges

5. Boundary Tracking of Continuous Objects Based on Binary Tree Structured SVM for Industrial Wireless Sensor Networks

Cited by 39 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

1. Variational Autoencoders for Network Lifetime Enhancement in Wireless Sensors;Sensors;2024-08-30

2. Enhancing Medical Image Analysis with Machine Learning and Image Processing;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

3. A Novel Approach to Optimize Energy Consumption in Industries Using IIoT and Machine Learning;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

4. AI Assisted Energy Optimized Sustainable Model for Secured Routing in Mobile Wireless Sensor Network;Mobile Networks and Applications;2024-04-16

5. Performance Optimization in Software-Defined Networks Based on IoT Networks;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04