AI-Driven Energy-Efficient Data Aggregation and Routing Protocol Modeling to Maximize Network Lifetime in Wireless Sensor Networks
The research work presents an artificial intelligence-driven, energy-aware data aggregation and routing protocol for wireless sensor networks (WSNs) with the primary objective of extending overall network lifetime. The proposed scheme leverages reinforcement learning in conjunction with deep Q-netwo...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2025-09-01
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| Seria: | NDT - Journal of Non-Destructive Testing |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2813-477X/3/4/22 |
| Etykiety: |
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