QEGWO: Energy-Efficient Clustering Approach for Industrial Wireless Sensor Networks Using Quantum-Related Bioinspired Optimization
Author:
Affiliation:
1. Department of Information Science and Technology, Shihezi University, Shihezi, China
2. Xinjiang Tianfu Information Technology Company Ltd., Shihezi, China
3. Technology Center, Xinjiang Tianfu Energy Company Ltd., Shihezi, China
Funder
Project of Youth and Middleaged Scientific and Technological In-Novation Leading Talents Program of the Corps
Corps Innovative Talents Plan
China Postdoctoral Science Foundation
Funding Project for High Level Talents Research in Shihezi University
Project of Shihezi University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/9955314/09825738.pdf?arnumber=9825738
Reference29 articles.
1. Energy-efficient communication protocol for wireless microsensor networks
2. Energy-Optimal Data Collection for Unmanned Aerial Vehicle-Aided Industrial Wireless Sensor Network-Based Agricultural Monitoring System: A Clustering Compressed Sampling Approach
3. An application-specific protocol architecture for wireless microsensor networks
4. PEGASIS: Power-efficient gathering in sensor information systems
5. A Real-Time Big Data Gathering Algorithm Based on Indoor Wireless Sensor Networks for Risk Analysis of Industrial Operations
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