Research Of Secure Sensitive Data Transmission In Wireless Sensor Network Based On Compressive Sensing

With the constant developing of urbanization in our country, the idea of smart city has attracted increasing attentions of the public. As one of the core technology in smart city, IOT has gain the advantage in development potential and competitiveness. With the rapid deployment of the IOT, data driven becomes a very important model and the safety of transmission data becomes a key problem. How to perfectly and efficiently implement the securely and secretly data transmission is the hot research topic in Wireless Sensor Network (WSN) which is the fundamental underlying infrastructure of IOT. In order to realize data securely transmission, the traditional methods are based on key agreement or management schemes which are difficult in implementation complex, communication cost and energy consumption. We must find another proper theory to fit the resource limitation of sensor nodes.As a newly developed technology in signal processing fields, Compressive Sensing (CS) theory has the character of simple coding and complex decoding. This character is quiet suitable with the structure of WSN which has enough computation and energy. This paper proposes a secure sensitive data transmission algorism based on CS theory after plenty of literature research. We fully exploit the possible fusion between CS technology and data transmission in WSN and suggest a novel information hiding model based on CS.Firstly, this paper makes some detail classification and summary to the research status of WSN and CS, and then points out the study trends. By analyzing the current situation of WSN, CS and Information Hiding (IH), we point out that CS technology will be suitable and effective used in WSN data secure transmission. The MATLAB software is used to construct a wireless transmission channel with noise interference and packet loss characteristics. The channel consisted of noise function generator and packet loss control function can realize multiple controls by adjusting the parameter in the functions.Secondly, this paper gives an outline of s sparsification, sampling and reconstruction to the CS theory. We propose a secure data transmission algorism based on CS theory in single-hop WSN with lossy channel. In the encoding process of WSN, the nodes can collect different signals as sensitive data and regular data by data sensing units. By using CS embed algorism, we can get target transport signal by loading the sensitive data into the regular signal. In the lossy channel, the target signal will get some packet loss. The decoding processing in the base station will reconstruct the transmitted sensitive and regular data by using the basic CS algorism. We use Mean Square Error (MSE) as the reference standard for the reconstructed accuracy. The simulation result shows that our algorism can resist channel loss when the packet drop occurs in the wireless channel.At last, we present a fresh sensitive data transport algorism based on BCS to overcome the noise interference in wireless channel. By utilizing the simulation software, BCS algorism can fulfill signal transmission and recover in noisy and lossy channel after theoretical confirmation. The simulation result indicates that in noisy and lossy channel, the BCS technology with strong robustness can correctly recover the original sensitive and regular data. As compare with the Basis Pursue (BP) and convex optimization, BCS has faster iteration speed and higher reconstruction precision.In conclusion, this article provide a new thinking to the research of WSN, and our research effect will hopefully facilitate the exploiting and fusion among CS fields, WSN and information hiding fields.