| Autor: |
Preetha, M., E., Padmavathy, Murugesan, K., Kumar, R. Ashok, R., Vidhya Muthulakshmi |
| Předmět: |
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| Zdroj: |
Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p12708-12718, 11p |
| Abstrakt: |
In the context of Wireless Sensor Networks (WSNs), fault tolerance and efficient energy usage are essential for maintaining network lifespan. For improved WSN survivability, the study presents the War strategy with Contextual Attention Greylag Goose Network based Leopard Seal Optimization (WS-CAGGN-LSO). The War Strategy Optimization (WSO) is used by the WS-CAGGN-LSO approach for cluster generation and CH selection and predicts the high energy consumption node and eliminates it. To improve network survivability, a fault-tolerant method based on Contextual Attention Greylag Goose Network (CAGGN) is taken into consideration. The parameters of the CANN is optimized by the Greylag Geese Optimization (GGO) Furthermore, WSN route selection is optimised using a Leopard Seal Optimization (LSO). Ultimately, measures such as throughput, latency, energy consumption, packet delivery ratio, network life time, survivability, and computing time can be used to assess and compare the performance of the suggested approach against the methods that are currently in use. In comparison to other available models for 100 nodes, the network using the provided model achieved a throughput of 99.95% and an average energy consumption rate of 0.021J. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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