An Efficient Technique for Lossless Address Data Compression Using Novel Adaptive SPIHT Algorithm in WSN

Sanjay Mainalli, R. Kulkarni, Kalpana Sharma
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引用次数: 1

Abstract

The computer is becoming more and more powerful day by day. Data compression is a popular approach to reducing data volumes and hence lowering disk I/O and network data transfer times. While several lossy data compression techniques have demonstrated excellent compression ratios, lossless data compression techniques are still among the most popular ones. Sensor networks represent a non-traditional source of information, as readings generated by sensors flow continuously, leading to an infinite stream of data. Sensors are non-reactive elements which are used to monitor real life phenomena, such as live weather conditions, network traffic, etc. They are usually organized into networks where their readings are transmitted using low level protocols.
基于自适应SPIHT算法的无线传感器网络地址数据无损压缩技术
计算机正变得越来越强大。数据压缩是一种流行的方法,可以减少数据量,从而减少磁盘I/O和网络数据传输时间。虽然有几种有损数据压缩技术已经证明了出色的压缩比,但无损数据压缩技术仍然是最受欢迎的技术之一。传感器网络代表了一种非传统的信息源,因为传感器产生的读数连续流动,导致无限的数据流。传感器是非反应性元件,用于监测现实生活中的现象,如实时天气状况、网络流量等。它们通常被组织成网络,其中它们的读数使用低级协议传输。
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