WSNs Data Collection Model.

WSNs Data Collection Model.

<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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Bibliographic Details
Main Author: Zhouzhou Liu (21560758) (author)
Other Authors: 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)
Published: 2025
Subjects:
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 ).
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study proposes
packet loss
high redundancy
cluster head
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