Energy-aware Clustering and Lifetime Extension in WSNs Using Evolutionary Learning Algorithms

Abstract Nodes in Wireless Sensor Networks (WSNs) are characterized by limited resources, including energy, memory, and processing power, which necessitates optimized energy usage to extend the network’s lifespan. Efficient CH selection significantly contributes to conserving energy and improving th...

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Үндсэн зохиолчид:	Tripti Sharma, Gitesh Goyal, Babita Tiwari, G. S. Tomar, Neeru Rathee
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Springer 2026-04-01
Цуврал:	International Journal of Computational Intelligence Systems
Нөхцлүүд:	Anomaly detection Energy consumption Clustering Network lifetime Two-hop routing Wireless sensor network
Онлайн хандалт:	https://doi.org/10.1007/s44196-026-01284-1
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!