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- W4360909101 abstract "Wireless sensor networks are having constraint of their short battery life. Sensor nodes and battery-operated cluster heads make up the WSN. WSN’s long-term performance depends heavily on the efficient utilization of cluster head energy. Energy-efficient wireless clustering already exists using artificial algorithms. In this chapter, a new algorithm is developed for wireless clustering that outperforms than all existing methods. Biogeography-based optimization is used in WSN’s cluster heads for energy utilization. Using BBO approach, cluster head energy consumption is reduced and life of cluster head increased approx 5% and packet delivery to base station increase approx 3% that leads to improvement in network life and improves the performance of network." @default.
- W4360909101 created "2023-03-26" @default.
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- W4360909101 date "2023-01-01" @default.
- W4360909101 modified "2023-09-23" @default.
- W4360909101 title "A Novel Clustering Approach in Wireless Sensor Networks Using Artificial Intelligence" @default.
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- W4360909101 doi "https://doi.org/10.1007/978-981-19-7615-5_70" @default.
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