| 摘要: |
| 无线传感器网络通常能量、带宽有限.一个关键而实用的需求是,在保证数据质量的情况下,对持续到达的采样数据进行在线式压缩.主要贡献:① 利用传感器节点内置的缓冲区,提出了单传感器节点上基于分段常量逼近的准在线式数据压缩算法(PCADC-sensor),并给出了在无穷范数误差度量下的实现;② 提出了单传感器节点上基于分段线性逼近的在线式数据压缩算法(PLADC-sensor).分别在无穷范数和2 范数误差度量的情况下给出了计算PLA 的两种简单快速算法,推导了分段线性一致逼近的充要条件;③ 簇头或基站无需接收原 |
| 关键词: 传感器网络 数据压缩 分段 一致逼近 平方逼近 |
| DOI：10.3724/SP.J.1001.2011.03951 |
| 分类号: |
| 基金项目:国家自然科学基金(60973031, 60973127); 湖南省科技计划(2010FJ6005); 长沙理工大学人才引进基金 |
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| Piecewise Approximation Based Data Compression Algorithm with Error Bound in Wireless Sensor Networks |
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ZHANG Jian-Ming1, LIN Ya-Ping2, FU Ming1, ZHOU Si-Wang2
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1.School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410004, China;2.School of Information Science and Engineering, Hu’nan University, Changsha 410082, China
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| Abstract: |
| Wireless sensor networks usually have limited energy and transmission capacity. A critical and practical demand is to online compress sensor data streams continuously. This paper makes the following contributions. First, using the built-in buffer of sensor node, a piecewise constant approximation based data compression algorithm with infinite norm error bound is presented, which is named PCADC-sensor and is a near online algorithm. Second, with infinite norm and square norm error bound respectively, this study proposes two online piecewise linear approximation based data compression algorithms in sensor node, named PLADC-sensor. A necessary and sufficient condition of PLA uniform approximation is given. Third, a piecewise linear representations based data compression algorithm in cluster head or sink, named PLRDC-cluster is presented. It does not need raw sensory data and can be applied to calculate aggregate functions. Last, the experiments on real-world sensor dataset show that the proposed algorithms match the sensor data stream model and can achieve significant data reduction. |
| Key words: wireless sensor networks data compression segmentation uniform approximation square approximation |
