Spatial-Temporal Data Collection with Compressive Sensing in Mobile Sensor Networks

Spatial-Temporal Data Collection with Compressive Sensing in Mobile Sensor Networks

Compressive sensing (CS) provides an energy-efficient paradigm for data gathering in wireless sensor networks (WSNs). However, the existing work on spatial-temporal data gathering using compressive sensing only considers either multi-hop relaying based or multiple random walks based approaches. In t...

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Bibliographic Details
Main Authors: Haifeng Zheng, Jiayin Li, Xinxin Feng, Wenzhong Guo, Zhonghui Chen, Neal Xiong
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Sensors
Subjects:
compressive sensing
mobile data gathering
machine learning theory
random walk
Gaussian kernel
wireless sensor networks
Online Access:https://www.mdpi.com/1424-8220/17/11/2575

Internet

https://www.mdpi.com/1424-8220/17/11/2575

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