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Image Transmission Over ZigBee-Based Wireless Sensor Networks

机译:通过基于ZigBee的无线传感器网络进行图像传输

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摘要

A common greenhouse application uses a small camera to monitor a particular plant of interest. Because of resource constraints in the sensor nodes, digital image transmission is a challenge for image-sensor-based wireless sensor networks (WSNs). A useful design and implementation of a wireless image sensor network with low costs, low power, and based on a low rate ZigBee protocol is presented. The WSN hardware platform and acquisition software use a simple best effort protocol to transmit JPEG images over a ZigBee network. However, image quality can be degraded by image distortion during transmission due to packet losses and poor link quality. A Canny edge detector algorithm is therefore used to recognize a distorted image, and then the system retransmits the image automatically. In the experiments, the recognition rate for identification of image distortion with mosaic blocks reached up to 90% using our proposed algorithm. Experimental results show that the performance of the WSN platform is reliable.
机译:常见的温室应用程序使用小型摄像机监视特定的目标植物。由于传感器节点中的资源限制,数字图像传输对于基于图像传感器的无线传感器网络(WSN)构成了挑战。提出了一种低成本,低功耗,基于低速率ZigBee协议的无线图像传感器网络的有用设计和实现。 WSN硬件平台和采集软件使用简单的尽力而为协议在ZigBee网络上传输JPEG图像。但是,由于丢包和不良的链路质量,传输过程中的图像失真会降低图像质量。因此,使用Canny边缘检测器算法来识别失真的图像,然后系统自动重新传输图像。在实验中,使用我们提出的算法,识别马赛克块图像失真的识别率高达90%。实验结果表明,WSN平台的性能是可靠的。

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