Node data transmitting method and device of sensor network and node data reconfiguring method and device of sensor network

A sensor network, node data technology, applied in network topology, transmission system, digital transmission system, etc., can solve problems such as data flow and processing difficulties

Inactive Publication Date: 2012-07-18
TSINGHUA UNIV
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Problems solved by technology

Collect the data of all nodes together as Called network data (network data), if the number of nodes is large, the network data X w will be large, each node processing X w need at least n w secondary communication, which brings great difficulties to the flow and processing of data in the network, and it is also related to the security of sensing data

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  • Node data transmitting method and device of sensor network and node data reconfiguring method and device of sensor network
  • Node data transmitting method and device of sensor network and node data reconfiguring method and device of sensor network
  • Node data transmitting method and device of sensor network and node data reconfiguring method and device of sensor network

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Embodiment Construction

[0050] Compressed Sensing (CS for short) is a new sensing or sampling technology, which is very different from traditional data sampling. CS theory shows that the number of signals collected can be much smaller than traditional sampling data. The implementation of CS is based on two criteria, sparsity and incoherence. Sparsity means that the "information rate" of a continuous-time signal may be much smaller than the bandwidth it occupies, or that the number of degrees of freedom for a discrete-time signal is much smaller than the length of the signal. More precisely, CS is based on the fact that signals in nature are sparse or compressible under appropriate base representations after passing through certain transformations, such as discrete cosine transform, Fourier transform, etc. Incoherence represents a duality, similar to the relationship between frequency and time. That is to say, the waveform of the sampling signal under a specific base is very dense. Under normal circ...

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Abstract

The invention discloses a node data transmitting method of a sensor network and relates to the technical field of a wireless sensor network, wherein the sensor network totally comprises nw network nodes. The method comprises the following steps of: S1: acquiring the node data xj of the nw network nodes in the sensor network; S2: compressing the node data xj of each network node by using a preset random compression matrix to obtain the node compression data tj transmitted by each network node every time, and carrying out transmission frequency compression on the network data formed by tj to obtain mw data, wherein i is equal to 1, 2,..., mw and represents i times of transmission, and wm is less than nw; and S3: transmitting the compression data of the nw network nodes to a fusion center through mw times of transmission. In the fusion center, the data xj originally acquired by each sensor is recovered by a node data reconfiguring method of the sensor network. According to the invention, the quantity of data transmitted and processed in the sensor network can be reduced.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a sensor network node data sending method and device, and a reconstruction method and device. Background technique [0002] Wireless sensor networks are widely used in high-density radar arrays, electronic fences, intelligent parking lots and other fields. In the face of complex sensing environments, an ideal wireless sensor network requires sensor nodes to have strong signal acquisition, computing and processing capabilities, and high energy Storage space and efficient and stable wireless transmission capabilities, but usually a huge hardware and software cost is required to meet these conditions, but the ideal effect may not be obtained. [0003] In the prior art, compressive sensing technology is usually used for signal processing of sensor networks, figure 1 It is a schematic diagram of the structural framework of the sensor network system in the prior art, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L1/00H04W84/18
Inventor 陆建华杜冰
Owner TSINGHUA UNIV
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