Large scale WSNs node localization based on salp swarm algorithm using density peak clustering strategy

To improve the node localization accuracy of large-scale wireless sensor networks (WSNs), a node localization method for WSNs using density peak clustering to optimize the Salp Swarm Algorithm is proposed. Firstly, the block-based non-ranging WSNs node localization model is established, adaptively d...

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Vydané v:	Wireless networks Ročník 31; číslo 7; s. 4451 - 4463
Hlavní autori:	Liu, Zhouzhou, Jin, Cong, Liu, Chao, Jiang, Guangyi, Jia, Nan, Chen, Nan, Peng, Han
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.10.2025 Springer Nature B.V
Predmet:	Accuracy Algorithms Clustering Communication Communications Engineering Computer Communication Networks Density Electrical Engineering Energy consumption Engineering Extreme values Global positioning systems GPS IT in Business Localization Localization method Networks Nodes Optimization Optimization algorithms Original Paper Sensors Wireless sensor networks Salp swarm algorithm Density peak clustering algorithm Wireless sensor networks Accuracy Location
ISSN:	1022-0038, 1572-8196
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