Horizontal hierarchy slicing based data compression for WSN

Yanwen Wang, Xiaoyu Li, Xiaoling Wu, Zhangbing Zhou, Hainan Chen
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Abstract

Data compression on sensing data in Wireless Sensor Networks (WSNs) has long been the topic of extensive research in the last decade. Especially, in video sensor networks, the video and image data that need to be transmitted are relatively larger than common data. However WSNs usually have limited power supply and constrained communication bandwidth, it is significant to reduce the video and image data without any distortion before transmission to lower the energy consumption and the transmission delay. Therefore, in this paper we propose Horizontal Hierarchy Slicing (HHS) method based on Mathematical Morphology technology for compressing the data in WSNs. The results show its effectiveness in data compression for video and image data.
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基于水平层次切片的WSN数据压缩
近十年来,无线传感器网络(WSNs)中传感数据的数据压缩一直是广泛研究的课题。特别是在视频传感器网络中,需要传输的视频和图像数据比普通数据要大得多。然而,由于无线传感器网络的供电有限,通信带宽受限,因此在传输前减少视频和图像数据的失真,降低传输能耗和传输延迟具有重要意义。因此,本文提出了基于数学形态学技术的水平层次切片(HHS)方法来压缩无线传感器网络中的数据。实验结果表明,该算法在视频和图像数据压缩方面是有效的。
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