An On-Demand Charging for Connected Target Coverage in WRSNs Using Fuzzy Logic and Q-Learning

An On-Demand Charging for Connected Target Coverage in WRSNs Using Fuzzy Logic and Q-Learning

In wireless rechargeable sensor networks (WRSNs), a mobile charger (MC) moves around to compensate for sensor nodes’ energy via a wireless medium. In such a context, designing a charging strategy that optimally prolongs the network lifetime is challenging. This work aims to solve the challenges by i...

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Bibliographic Details
Main Authors: Phi Le Nguyen, Van Quan La, Anh Duy Nguyen, Thanh Hung Nguyen, Kien Nguyen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
WRSN
Q-learning
on-demand charging algorithm
target coverage
connectivity
Online Access:https://www.mdpi.com/1424-8220/21/16/5520

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