An adaptive coverage method for dynamic wireless sensor network deployment using deep reinforcement learning

An adaptive coverage method for dynamic wireless sensor network deployment using deep reinforcement learning

Abstract Coverage optimization stands as a foundational challenge in Wireless Sensor Networks (WSNs), exerting a critical influence on monitoring fidelity and holistic network efficacy. Constrained by the limited energy budgets of sensor nodes, the imperative to maximize network longevity while sust...

Full description

Saved in:
Bibliographic Details
Main Authors: Peng Zhou, Mingqi Kan, Wei Chen, Yingchao Wang, Bingyu Cao
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Coverage optimization
Wireless sensor networks
Deep reinforcement learning
High-density deployment
Online Access:https://doi.org/10.1038/s41598-025-16031-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-16031-3

Similar Items