Improving the functionality of wireless sensor networks through the use of reinforcement learning and metaheuristic based energy efficient system

Improving the functionality of wireless sensor networks through the use of reinforcement learning and metaheuristic based energy efficient system

Abstract To improve the routing and data transmission of wireless sensor networks, this study recommends utilising a new clustering mechanism that is energy efficient and intelligent. First, the positions of the sensor nodes in the network and energy values are acquired. Harris hawks optimization, a...

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Bibliographic Details
Main Authors: Shiwei Zhang, Xinghan Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Wireless sensor network (WSN)
Reinforcement learning system
Fuzzy logic system
Harris hawk optimization (HHO) algorithm
Wild horse optimization (WHO) algorithm
Low-energy adaptive clustering hierarchy (LEACH)
Online Access:https://doi.org/10.1038/s41598-025-16128-9
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https://doi.org/10.1038/s41598-025-16128-9

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