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...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2025-09-01
|
| Серии: | NDT - Journal of Non-Destructive Testing |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2813-477X/3/4/22 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|