New big data collecting method based on compressive sensing in WSN

New big data collecting method based on compressive sensing in WSN

Big data

Data acquisition

Trees (mathematics)

Matrix algebra

Compressed sensing

Sensor nodes

Considered the wireless sensor network clustering structure, a new big data collecting method based on compressive sensing is proposed. The collection process is as follows: In the cluster, the sink node sets the corresponding seed vector based on the distribution of network, and then sends it to each cluster head. Cluster head can generate corresponding own random spacing sparse matrix based on its received seed vector, and collect data through compressive sensing technology

Among clusters, clusters forward measurement values to sink node along multi-hop routing tree which we built before. Performance analyzing and comparison of results show that this method is superior to other methods regardless of in a cluster or inter-cluster. 2018 IEEE.

Huawei Technologies Co.

2018-July

Zhang, De-Gan

Liu, Xiao-Hua

Cui, Yu-Ya

Peng, Hong-Tao

27th International Conference on Computer Communications and Networks, ICCCN 2018, July 30, 2018 - August 2, 2018

2018

conferencePaper

10952055

10.1109/ICCCN.2018.8487389

http://dx.doi.org/10.1109/ICCCN.2018.8487389