Advancing Energy Efficiency in Wireless Sensor Networks: Secured Data Transmission with ANN-Based IDS for Clustering and Routing.
Keywords:
Wireless Sensor Network (WSN), Low Energy Adaptive Clustering Hierarchy (LEACH), Intrusion Detection System (IDS), Fuzzy logic, Artificial Neural Network (ANN)Abstract
This research focuses on enhancing security and energy efficiency in Wireless Sensor Networks (WSNs) by integrating an Artificial Neural Network (ANN)-based Intrusion Detection System (IDS) with the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The study introduces a novel clustering mechanism that selects cluster heads through a round-robin policy, promoting fair energy use and prolonging the network's lifetime. Additionally, it employs fuzzy logic for preliminary screening of malicious nodes, enhancing the security measures. The ANN within the IDS effectively identifies both known and novel threats, improving the network's resilience against security risks. Extensive simulations demonstrate that this method significantly betters energy consumption, network longevity, and security, providing a robust solution to the critical challenges of node capture and power depletion in WSNs.
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