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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Autori principali:	R. Arun Chakravarthy, C. Sureshkumar, M. Arun, M. Bhuvaneswari
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-09-01
Serie:	NDT - Journal of Non-Destructive Testing
Soggetti:	wireless sensor networks (WSN) energy efficiency data aggregation routing protocol cluster head selection network lifetime
Accesso online:	https://www.mdpi.com/2813-477X/3/4/22
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