An Efficient Data Compression Model Based on Spatial Clustering and Principal Component Analysis in Wireless Sensor Networks

@inproceedings{Yin2015AnED,
  title={An Efficient Data Compression Model Based on Spatial Clustering and Principal Component Analysis in Wireless Sensor Networks},
  author={Yihang Yin and Fengzheng Liu and Xiang Zhou and Quanzhong Li},
  booktitle={Sensors},
  year={2015}
}
Wireless sensor networks (WSNs) have been widely used to monitor the environment, and sensors in WSNs are usually power constrained. Because inner-node communication consumes most of the power, efficient data compression schemes are needed to reduce the data transmission to prolong the lifetime of WSNs. In this paper, we propose an efficient data compression model to aggregate data, which is based on spatial clustering and principal component analysis (PCA). First, sensors with a strong… CONTINUE READING
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Combining compression and clustering techniques to handle big data collected in sensor networks

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