Physical signal collaborative compression sensing system and method for sensor network

A sensor network and physical signal technology, applied in the field of wireless sensing, can solve the problems of large data volume and reduce data communication volume, and achieve the effects of reducing energy consumption, reducing data communication volume, and good noise resistance

Active Publication Date: 2010-08-04
上海中科赛思信息工程有限公司
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Problems solved by technology

[0010] The technical problem to be solved by the present invention is: the present invention provides a sensor network physical signal cooperative compressed sensing system for the traditional algorithm physical signal sensing node energy consumption and the large amount of data required for reconstructing the signal, using the theory of compressed sensing Combined with the characteristics of wireless sensor networks, the data traffic of each node is greatly reduced. In the case of strong fading channel environment, local node failure and high data packet loss rate, physical signal reconstruction and effective perception can be realized, and it has good performance. Noise immunity

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Embodiment 1

[0039] see figure 1 , the present invention discloses a sensor network physical signal collaborative compressed sensing system, which includes at least one physical signal sensing node 10 , physical signal reconstruction node 20 , and time synchronization node 30 . In this embodiment, the system includes multiple physical signal sensing nodes 10 .

[0040] Each physical signal sensing node 10 is used to sample the physical signal, perform random mapping on the obtained sampling signal vector to obtain a random mapping value, and simultaneously perform statistics calculation on the sampling signal to obtain a statistical value, and send the random mapping value and the statistical value to a Physical signal reconstruction node. The physical signal reconstruction node 20 is used to collect the random mapping value and statistical value from the physical signal sensing node, complete the normalization of the random mapping value matrix, and realize the physical signal reconstruc...

Embodiment 2

[0059] figure 1 A basic block diagram of the sensor network physical signal cooperative compressed sensing system and method in this embodiment is given. In this embodiment, the nodes of the system are networked in a clustering manner, including cluster head physical signal reconstruction nodes and cluster member physical signal sensing nodes; the time synchronization nodes periodically broadcast time synchronization information.

[0060] The physical signal reconstruction node generates the seed sequence seed of the random number generator and sends it to the random number generator of each physical signal sensing node in broadcast mode, and the generator generates a random mapping matrix M according to the received seed series seed i *N, where M i is the local random mapping times of node i.

[0061] The physical signal sensing node i samples the sensor signal within a time period T at a certain sampling frequency f, and obtains the sampled signal vector x i (N) (the leng...

Embodiment 3

[0075] The following is a specific embodiment of the present invention applied to sparse physical signal perception.

[0076] The specific implementation background and parameters of the sensor network-based physical signal cooperative compressed sensing system are described as follows:

[0077] Network deployment area size (length x width): 100m x 100m;

[0078] Number of physical signal sensing nodes: 40;

[0079] Cluster head physical signal reconstruction node number: 1;

[0080] Assume that the physical signal position is at the center of the area (0, 0);

[0081] The original physical signal is: x=3sin(2πf 1 T s t s )+6sin(2πf 2 T s t s )+sin(2πf 3 T s t s )+9sin(2πf 4 T s t s )+10

[0082] Signal length: N=256;

[0083] Signal frequency 1: f1=50; signal frequency 2: f2=100; signal frequency 3: f3=200; signal frequency 4: f4=400;

[0084] Sampling frequency: fs=800; sampling interval: ts=0.00125;

[0085] Physical signal propagation attenuation factor: ...

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Abstract

The invention discloses physical signal collaborative compression sensing system and method for a sensor network. The system comprises physical signal sensing nodes, a physical signal reconstruction node and a time synchronization node; wherein all physical signal sensing nodes are used for sampling physical signals, carrying out random mapping on sampled signal vectors to obtain a random mapping value, simultaneously carrying out statistic calculation on sampled signals to obtain a statistic value and transmitting the random mapping value and the statistic value into the physical signal reconstruction node; and the physical signal reconstruction node is used for collecting the random mapping value and the statistic value from the physical signal sensing nodes, finishing the matrix normalization of the random mapping value and realizing the physical signal reconstruction on the basis of a compression sensing reconstruction algorithm. The invention can reduce the data communication volume of each node, prolongs the service life of the whole wireless sensing network and simultaneously realizes the reconstruction and the effective sensing of the physical signals under the conditions of deep fading channel environment, local node failure and high data packet loss rate.

Description

technical field [0001] The invention belongs to the technical field of wireless sensing, and relates to a sensor network physical signal processing system, in particular to a sensor network physical signal cooperative compressed sensing system; in addition, the present invention also relates to a sensing method of the sensor network physical signal cooperative compressed sensing system . Background technique [0002] The wireless sensor network is a wireless network composed of randomly distributed tiny nodes integrated with sensors, data processing units, control modules and communication units, etc., through self-organization. These nodes monitor the environment or system by measuring physical parameters such as temperature, pressure and relative humidity. Wireless sensor network technology is a typical military-civilian dual-use strategic high technology with interdisciplinary nature, which can be widely used in military, national security, environmental science, traffic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W84/18
Inventor 潘强邱依昕王营冠刘海涛
Owner 上海中科赛思信息工程有限公司
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