文章基本信息

标题：Resilient, Energy Efficient Image Sensor Network in Lossy Channel
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作者：Nishat Bano ; Monauwer Alam ; Shish Ahmad 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：6
页码：11043
DOI：10.15680/IJIRSET.2017.0606156
出版社：S&S Publications
摘要：The set partitioning in hierarchical trees (SPIHT) consist of linked lists to track coefficients, thusrequiring large memory. In this paper, we propose a resilient and energy-efficient SPIHT image compression schemewith lifting scheme to calculate the discrete wavelet transformed coefficients of image. A state table is used instead oflists which uses 0.25 bit per coefficient marker to keep track of set partitions, thus replacing dynamic memory. Thereduction in memory requirement facilitates image transmission over energy constrained wireless sensor network.Simulation results show that the listless SPIHT coder saves 96.35% energy which is resilient also.
关键词：Listless Set Partitioning in Hierarchical Trees (Listless SPIHT); Lifting Wavelet transform; Wireless;sensor network.