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Secure Power Aware Hybrid Routing Strategy for Large-Scale Wireless Sensor Networks
Wireless Sensor Networks (WSNs) in critical applications demand safe routing methods to increase network life and protect data flow. This study proposes a "Secure Power Aware Hybrid Routing Strategy for Wireless Sensor Networks (WSN) utilizing randomized cluster head selection" to address these challenges. Traditional routing systems typically face energy depletion because of uneven node energy usage and attacks. The recommended strategy uses clustering and randomization to overcome these concerns. The network is divided into clusters with dynamically designated cluster heads. Randomly selecting cluster heads (CHs) in a network strengthens it against attacks targeting fixed CHs. Thus, this randomization method enhances network security. Energy efficiency is critical in Wireless Sensor Networks. This method solves the problem by considering power while choosing cluster heads. Assigning greater probability to nodes with more residual energy for cluster head (CH) selection encourages fairer energy utilization throughout the network, extending its operational lifetime. The research also evaluates the technique's energy usage, network longevity, and security robustness. The approach is tested against conventional routing techniques in simulated tests. The research found that the proposed technique outperforms existing methods in energy efficiency, network lifetime, and security. The hybrid technique combines clustering with randomization to provide a more adaptable and safe network architecture. Finally, the proposed technology may improve Wireless Sensor Network energy efficiency and security. The hybrid strategy balances energy savings and network protection. This makes it excellent for a broad variety of critical sector applications that prioritize reliability, longevity, and data integrity.
Keywords
Secure, Power Aware, Hybrid Routing, Selective Routing, WSN, Randomized Cluster Head Selection.
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