A Hybrid Framework Integrating Deterministic Clustering, Neural Networks, and Energy-Aware Routing for Enhanced Efficiency and Longevity in Wireless Sensor Network

Wireless Sensor Networks (WSNs) have emerged as crucial tools for real-time environmental monitoring through distributed sensor nodes (SNs). However, the operational lifespan of WSNs is significantly constrained by the limited energy resources of SNs. Current energy efficiency strategies, such as cl...

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Vydáno v:	Computers, materials & continua Ročník 84; číslo 3; s. 5463 - 5485
Hlavní autoři:	Qamar, Muhammad Salman, Munir, Muhammad Fahad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Henderson Tech Science Press 2025
Témata:	Artificial neural networks Clustering Data management Data transmission Energy consumption Energy efficiency Energy management Energy sources Environmental monitoring Life span Neural networks Real time Regularization Routing (telecommunications) Sensors Wireless sensor networks
ISSN:	1546-2226, 1546-2218, 1546-2226
On-line přístup:	Získat plný text
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