Daubechies Wavelets Combined Sparse Basement Based on Compressed Sensing in Wireless Sensor Networks ⋆
نویسندگان
چکیده
A new method to construct a Daubechies wavelets combined sparse basement based on compressed sensing theory is proposed in this paper, which is particularly suitable for the sensing signals with time correlation characteristics. In this research, the simplified dictionary is constructed by Daubechies wavelets function after atoms checking and screening. This sparse basement is obtained by the coefficient vectors gotten from sparse decomposition of 24 elementary model signals. The simulation results show that this method has more advantages compared with existing algorithms, including low computational complexity, small storage requirement, short construction time and good sparse effect.
منابع مشابه
Link Quality Information Sharing by Compressed Sensing and Compressed Transmission for Arbitrary Topology Wireless Mesh Networks
We proposed to apply compressed sensing to realize information sharing of link quality for wireless mesh networks (WMNs) with grid topology. In this paper, we extend the link quality sharing method to be applied for WMNs with arbitrary topology. For arbitrary topology WMNs, we introduce a link quality matrix and a matrix formula for compressed sensing. By employing a diffusion wavelets basis, t...
متن کاملSTCS-GAF: Spatio-Temporal Compressive Sensing in Wireless Sensor Networks- A GAF-Based Approach
Routing and data aggregation are two important techniques for reducing communication cost of wireless sensor networks (WSNs). To minimize communication cost, routing methods can be merged with data aggregation techniques. Compressive sensing (CS) is one of the effective techniques for aggregating network data, which can reduce the cost of communication by reducing the amount of routed data to t...
متن کاملDistributed and Cooperative Compressive Sensing Recovery Algorithm for Wireless Sensor Networks with Bi-directional Incremental Topology
Recently, the problem of compressive sensing (CS) has attracted lots of attention in the area of signal processing. So, much of the research in this field is being carried out in this issue. One of the applications where CS could be used is wireless sensor networks (WSNs). The structure of WSNs consists of many low power wireless sensors. This requires that any improved algorithm for this appli...
متن کاملStability of Efficient Deterministic Compressed Sensing for Images with Chirps and Reed-Muller Sequences
We explore the stability of image reconstruction algorithms under deterministic compressed sensing. Recently, we have proposed [1-3] deterministic compressed sensing algorithms for 2D images. These algorithms are suitable when Daubechies wavelets are used as the sparsifying basis. In the initial work, we have shown that the algorithms perform well for images with sparse wavelets coefficients. I...
متن کاملA Priority-based Routing Algorithm for Underwater Wireless Sensor Networks (UWSNs)
Advances in low-power electronics design and wireless communication have enabled the development of low cost, low power micro-sensor nodes. These sensor nodes are capable of sensing, processing and forwarding which have many applications such as underwater networks. In underwater wireless sensor networks (UWSNs) applications, sensors which are placed in underwater environments and predicted ena...
متن کامل