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Telecommunication Systems

, Volume 68, Issue 1, pp 79–88 | Cite as

Accurate compressive data gathering in wireless sensor networks using weighted spatio-temporal compressive sensing

  • Saeed Mehrjoo
  • Farshad Khunjush
Article

Abstract

The high number of transmissions in sensor nodes having a limited amount of energy leads to a drastic decrease in the lifetime of wireless sensor networks. For dense sensor networks, the provided data potentially have spatial and temporal correlations. The correlations between the data of the nodes make it possible to utilize compressive sensing theory during the data gathering phase; however, applying this technique leads to some errors during the reconstruction phase. In this paper, a method based on weighted spatial-temporal compressive sensing is proposed to improve the accuracy of the reconstructed data. Simulation results confirm that the reconstruction error of the proposed method is approximately 16 times less than the closest compared method. It should be noted that due to applying weighted spatial-temporal compressive sensing, some extra transmissions are posed to the network. However, considering both lifetime and accuracy factors as a compound metric, the proposed method yields a 12% improvement compared to the closest method in the literature.

Keywords

Accuracy Compressive sensing Lifetime Wireless sensor networks 

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Computer Science and Engineering, School of Electrical and Computer EngineeringShiraz UniversityShirazIran

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