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07-06-2019 | Issue 8/2020

Wireless Networks 8/2020

Compress sensing algorithm for estimation of signals in sensor networks

Journal:
Wireless Networks > Issue 8/2020
Authors:
Juan Martinez, Jose Mejia, Boris Mederos, Alberto Ochoa, Oliverio Cruz-Mejía, José Antonio Marmolejo-Saucedo
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Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s11276-019-02031-5) contains supplementary material, which is available to authorized users.

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Abstract

In this research, we present a data recovery scheme for wireless sensor networks. In some sensor networks, each node must be able to recover the complete information of the network, which leads to the problem of the high cost of energy in communication and storage of information. We proposed a modified gossip algorithm for acquire distributed measurements and communicate the information across all nodes of the network using compressive sampling and Gossip algorithms to compact the data to be stored and transmitted through a network. The experimental results on synthetic data show that the proposed method reconstruct better the signal and in less iterations than with a similar method using a thresholding algorithm.

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