Investigation and Implementation Ultra-Low Power PIC-Based Sensor Node Network with Renewable Energy Source and Decision-Making Unit

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ISSN Print: 1945-3078
ISSN Online: 1945-3086
www.scirp.org/journal/wsn
E-mail: wsn@scirp.org

"Investigation and Implementation Ultra-Low Power PIC-Based Sensor Node Network with Renewable Energy Source and Decision-Making Unit"
written by Batur Alp Akgül, Muhammet Fatih Hasoğlu, Bülent Haznedar,
published by Wireless Sensor Network, Vol.10 No.2, 2018

has been cited by the following article(s):

[1]	Coverage Area Maximization using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN design
	IEEE …, 2023

[2]	Optimization of water reuse and modelling by saline composition with nanoparticles based on machine learning architectures
	Water Science & …, 2023

[3]	Partition Identification and Re-connectivity in Wireless Sensor Networks
	2023

[4]	STUDY AND REVIEW OF ENERGY OPTIMIZATION TECHNIQUES OF WSN BASED ON MACHINE LEARNING
	Journal of Data Acquisition and Processing, 2023

[1]	Energy Efficiency Techniques in Wireless Sensor Network for Sensor Nodes 2024 Global Conference on Communications and Information Technologies (GCCIT), 2024 DOI:10.1109/GCCIT63234.2024.10862433

[2]	Optimization of water reuse and modelling by saline composition with nanoparticles based on machine learning architectures Water Science & Technology, 2023 DOI:10.2166/wst.2023.161

[3]	Coverage Area Maximization Using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN Design IEEE Access, 2023 DOI:10.1109/ACCESS.2023.3313000

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