Lifetime Enhancement of Wireless Multimedia Sensor Networks Using Data Compression

Pushpender Kumar Dhiman, N. Chand
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引用次数: 16

Abstract

Wireless Sensor Network WSN has limited resources such as energy, computation and transmission capacity. These resources are not sufficient for transmitting large amount of data collected by the sensor nodes. Wireless Multimedia Sensor Network WMSN generates large amount of data that requires more energy and transmission capacity as compared to scalar data. So it is desired to perform in-network data compression in WMSN. In this paper the authors have used Principal Component Analysis PCA technique for data compression. PCA can be efficiently used in wireless multimedia sensor network to reduce the energy consumption, reduce the network load and prolong the network lifetime. Simulation results show that PCA based compression conserves energy of sensor nodes and prolongs the lifetime of WMSN.
利用数据压缩增强无线多媒体传感器网络的寿命
无线传感器网络具有有限的能量、计算和传输能力等资源。这些资源不足以传输传感器节点收集的大量数据。无线多媒体传感器网络WMSN产生大量的数据,与标量数据相比,需要更多的能量和传输容量。因此,需要在WMSN中实现网络内数据压缩。本文采用主成分分析(PCA)技术对数据进行压缩。PCA可以有效地应用于无线多媒体传感器网络中,降低网络能耗,减少网络负载,延长网络寿命。仿真结果表明,基于PCA的压缩节省了传感器节点的能量,延长了WMSN的使用寿命。
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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