Compress sensing algorithm for estimation of signals in sensor networks
Journal
Wireless Networks
ISSN
1022-0038
1572-8196
Date Issued
2019
Author(s)
Martinez, Juan
Mejía, José
Mederos, Boris
Ochoa, Alberto
Cruz-Mejía, Oliverio
Marmolejo Saucedo, José Antonio
Type
text::journal::journal article
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. © Springer Nature