Data collection performance for a single round.

<div><p>To tackle the challenges of extensive data transmission and high redundancy in wireless sensor networks (WSNs), this study proposes a novel data collection scheme based on expected network coverage and clustered compressive sensing (CS). First, the K-medoids clustering algorithm...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zhouzhou Liu (21560758) (author)
مؤلفون آخرون:	Yangmei Zhang (451324) (author), Yang Bi (196682) (author), Jingxuan Wang (435196) (author), Yuanyuan Hou (130870) (author), Chao Liu (43092) (author), Guangyi Jiang (12128991) (author), Shan Li (110392) (author)
منشور في:	2025
الموضوعات:	Biotechnology Cancer Science Policy Infectious Diseases Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified wsn coverage area wireless sensor networks sparrow search algorithm simulation results demonstrate ensures accurate recovery critical observation areas clustered compressive sensing extensive data transmission node scheduling strategy expected network coverage wsns data acquisition cs data reconstruction raw data data collection wsns ), node deployment network clustering cs ). xlink "> study proposes packet loss high redundancy cluster head
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Data collection performance for a single round.

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