Distributed Learning Fractal Algorithm for Optimizing a Centralized Control Topology of Wireless Sensor Network Based on the Hilbert Curve L-System

Distributed Learning Fractal Algorithm for Optimizing a Centralized Control Topology of Wireless Sensor Network Based on the Hilbert Curve L-System

Wireless sensor networks (WSNs) consist of a large number of small devices or nodes, called micro controller units (MCUs) and located in homes and/or offices, to be operated through the internet from anywhere, making these devices smarter and more efficient. Quality of service routing is one of the...

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Bibliographic Details
Main Authors: Jaime Moreno, Oswaldo Morales, Ricardo Tejeida, Juan Posadas, Hugo Quintana, Grigori Sidorov
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
Hilbert curve
WSNs
quality of service
centralized control topology
adaptive algorithm
L-system
swarm intelligence
optimization
distributed learning
Online Access:https://www.mdpi.com/1424-8220/19/6/1442

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https://www.mdpi.com/1424-8220/19/6/1442

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