Wireless sensor data collection method based on ElGamal algorithm

A wireless sensor and data collection technology, applied in specific environment-based services, wireless communications, advanced technologies, etc., can solve the problems of long data collection delay time, high energy consumption, low data collection efficiency, etc., to achieve low delay and safety. High performance and low energy consumption

Active Publication Date: 2019-09-20
ZHEJIANG GONGSHANG UNIVERSITY
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  • Abstract
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  • Application Information

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Problems solved by technology

[0008] However, the existing wireless sensor data collection mainly has the following two problems: first, the existing data collection basically assumes that the sensing matrix is ​​a dense matrix (each element in the matrix is ​​a non-zero element), and the data collection The efficiency is low; second, th...

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  • Wireless sensor data collection method based on ElGamal algorithm
  • Wireless sensor data collection method based on ElGamal algorithm
  • Wireless sensor data collection method based on ElGamal algorithm

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Embodiment 1

[0055] Such as figure 1 As shown, the present embodiment proposes a wireless sensor data collection method based on the ElGamal algorithm, including:

[0056] Step S1, the sensor calculates a sparse random matrix, and calculates the data transmitted during each round of measurement value collection according to the sparse random matrix;

[0057] Firstly, the applicable scenarios of the present invention are briefly introduced. In a wireless sensor network, there is a base station and multiple sensor nodes, each sensor can communicate with multiple nearby sensors, and each cell contains multiple sensors, such as figure 2 shown.

[0058] Specifically, in the initialization phase, all sensors in the wireless sensor network generate a unified sparse random matrix, and calculate the data transmitted during each round of measurement value collection according to the sparse random matrix.

[0059] The performance of the sparse perceptual matrix in recovering the original signal c...

Embodiment 2

[0098] In this embodiment, the case of three cells is considered, and assuming that the number of sensors in each cell is five, the compressed data collection method used in the present invention will be described.

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Abstract

The invention discloses a wireless sensor data collection method based on an ElGamal algorithm, and the method comprises the steps: S1, enabling a sensor to calculate a sparse random matrix, and calculating the data transmitted in the collection process of each round of measurement value according to the sparse random matrix; S2, sending the calculated data to a base station through an El Gammal encryption and compressed sensing technology; and S3, after the base station collects enough measurement data, recovering the ciphertext into plaintext data, and calculating the original data of each sensor by using a compressed sensing technology. According to the method, a sparse sub-Gaussian random matrix is used for replacing a traditional Gaussian random matrix to serve as a sensing matrix, the characteristics of a planar network are comprehensively considered, and in the data collection process, a pipeline technology is used for collecting measurement values, so that the energy consumption of the network is reduced, and the data collection time is shortened.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method for collecting wireless sensor data based on an ElGamal algorithm. Background technique [0002] Compressed sensing, also known as compressed sampling, is an emerging information processing theory. According to the compressed sensing theory, if the original signal itself is sparse or sparse in a certain transformation domain, the original signal can be accurately restored by a small number of random linear measurements. Compressed sensing theory breaks through the limitations of the Nyquist sampling theorem from the signal sampling frequency, and lays the foundation for a new signal processing method. Compressed sensing has the characteristics of simple encoding and complex decoding, which is very suitable for wireless sensor networks with weak performance of ordinary nodes and strong performance of base station nodes. computing power on the base station...

Claims

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Application Information

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IPC IPC(8): H04W4/38H04W12/02
CPCH04W4/38H04W12/02H04W12/03Y02D30/70
Inventor 虞晓韩董克明陈超徐文磊
Owner ZHEJIANG GONGSHANG UNIVERSITY
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