Purpose

The manufacturing of intelligent and secure visual data transmission over the wireless sensor network is key requirement nowadays to many applications. The two-way transmission of image under a wireless channel needed image must compatible along channel characteristics such as band width, energy-efficient, time consumption and security because the image adopts big space under the device of storage and need a long time that easily undergoes cipher attacks. Moreover, Quizzical the problem for the additional time under compression results that, the secondary process of the compression followed through the acquisition consumes more time.

Design/methodology/approach

Hence, for resolving these issues, compressive sensing (CS) has emerged, which compressed the image at the time of sensing emerges as a speedy manner that reduces the time consumption and saves bandwidth utilization but fails under secured transmission. Several kinds of research paved path to resolve the security problems under CS through providing security such as the secondary process.

Findings

Thus, concerning the above issues, this paper proposed the Corvus corone module two-way image transmission that provides energy efficiency along CS model, secured transmission through a matrix of security under CS such as inbuilt method, which was named as compressed secured matrix and faultless reconstruction along that of eminent random matrix counting under CS.

Originality/value

Experimental outputs shows intelligent module gives energy efficient, secured transmission along lower computational timing also decreased bit error rate.

中文翻译：

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制造智能 Corvus corone 模块，用于 WSN 下的安全双向图像传输

目的

通过无线传感器网络制造智能和安全的视觉数据传输是当今许多应用的关键要求。无线信道下图像的双向传输需要的图像必须兼容带宽、节能、省时和安全等信道特性，因为图像在存储设备下占用空间大，需要很长时间，容易接受密码攻击。此外，Quizzical 在压缩下的额外时间的问题导致，在采集之后的压缩的二次过程消耗更多时间。

设计/方法/方法

因此，为了解决这些问题，出现了压缩感知（Compressive Sensing，CS），它在感知时压缩图像作为一种快速的方式出现，减少了时间消耗，节省了带宽利用率，但在安全传输下却失败了。多种研究通过提供二级进程等安全性，为解决CS下的安全问题铺平了道路。

发现

因此，针对上述问题，本文提出了 Corvus corone 模块双向图像传输，它提供了沿 CS 模型的能量效率，通过 CS 下的安全矩阵（例如内置方法）进行安全传输，称为压缩安全矩阵和无故障沿着 CS 下的卓越随机矩阵计数的重建。

原创性/价值

实验输出表明，智能模块提供节能、安全的传输，沿着较低的计算时间也降低了误码率。