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出 处:《传感器与微系统》2010年第9期51-54,共4页Transducer and Microsystem Technologies
摘 要:无线传感器网络的能量供应和通信带宽等资源相对有限,难以适应大量数据的传输,需要在网络内部对原始监测数据进行压缩或聚合处理。为了充分利用其空间和时间相关性来进行数据压缩,提出了一种基于虚拟网格的数据融合算法。该算法基于虚拟网格来构建采集数据矩阵,并分别利用时域差分和二维离散余弦变换来去除时间和空间冗余。仿真实验和理论分析表明:该算法具有良好的压缩性能,有效地降低了节点能耗和提高了网络生命周期。Due to its limited resources such as energy supply and transmission capacity, wireless sensor networks cannot adapt to the transmission of a large number of datas. Therefore,it is necessary for raw datas to perform innetwork compression or aggregation. A data aggregation algorithm based on virtual grids is proposed for the purpose of data compressing by making full use of the spatial and temporal correlation. The algorithm constructs arrays of data acquisition based on virtual grids, and removes spatial and temporal redundancy through temporal difference and 2D-DCT. Simulation experiment and theoretical analysis show that the proposed algorithm has good compression performance, and effectively reduced energy consumption and extend network lifetime.
关 键 词:无线传感器网络 数据融合 压缩 离散余弦变换 虚拟网格
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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