A Robust Netrosophic Clustering Based Raven Routing Optimization to Alleviate Void Hole and Energy Depletion in IoT WSN

Wireless Sensor Networks (WSNs) find extensive utilisation in diverse domains, including but not limited to environmental monitoring, industrial control, and healthcare. have a crucial function gathering relaying information from sensor nodes central node or sink various applications. encounter obstacles that can significant impact on their performance lifespan. These challenges include are battery life, void holes, energy depletion.
 Several routing algorithms been suggested scholarly works tackle these concerns, such as clustering-based routing, data-centric location-based routing. Nonetheless, majority of possess constraints may be appropriate for every situation.
 The present study introduces methodology called Rncrro (Robust Netrosophic Clustering Based Raven Routing Optimisation) aims mitigate the issues holes depletion (WSNs). proposed approach utilises Optimisation tandem enhance efficacy resilience mechanism.
 significance this is rooted its capacity surmount current furnish superior dependable resolution has potential longevity by mitigating depletion. This, turn, result more efficient data collection transmission across