Adaptive image compression in wireless sensor networks

Benfilali Mostefa, Sofiane Boukli-Hacene
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引用次数: 4

Abstract

The main obstacle to transmit images in wireless sensor networks is the lack of an appropriate strategy for processing the large volume of data such as images. The high rate packets errors because of what numbers very high packets carrying the data of the captured images and the need for retransmission in case of errors, and more, the energy reserve and band bandwidth is insufficient to accomplish these tasks. This paper presents new effective technique called “Background subtraction” to compress, process and transmit the images in a wireless sensor network. The practical results show the effectiveness of this approach to make the image compression in the networks of wireless sensors achievable, reliable and efficient in terms of energy and the minimization of amount of image data.
无线传感器网络中的自适应图像压缩
在无线传感器网络中传输图像的主要障碍是缺乏适当的策略来处理大量的数据,如图像。高速率数据包的误码率是因为多少非常高的数据包携带了捕获图像的数据,并且在误码率很高的情况下需要重传,而且能量储备和频带带宽不足以完成这些任务。本文提出了一种新的有效的无线传感器网络图像压缩、处理和传输技术——“背景减法”。实际结果表明,该方法可以有效地实现无线传感器网络中的图像压缩,并且在能量和图像数据量方面是可靠和高效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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