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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Auteurs principaux:	R. Arun Chakravarthy, C. Sureshkumar, M. Arun, M. Bhuvaneswari
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-09-01
Collection:	NDT - Journal of Non-Destructive Testing
Sujets:	wireless sensor networks (WSN) energy efficiency data aggregation routing protocol cluster head selection network lifetime
Accès en ligne:	https://www.mdpi.com/2813-477X/3/4/22
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