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首页> 外文期刊>International Journal of Innovative Computing Information and Control >AN ADAPTIVE DATA STORAGE AND HISTORICAL QUERY PROCESSING FOR STORAGE-CENTRIC SENSOR NETWORK
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AN ADAPTIVE DATA STORAGE AND HISTORICAL QUERY PROCESSING FOR STORAGE-CENTRIC SENSOR NETWORK

机译：以存储为中心的传感器网络的自适应数据存储和历史查询处理

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摘要

In this paper, we propose an adaptive data reduction scheme and historical query processing technique based on a proxy architecture for the storage-centric sensor network towards efficient energy consumption. In our approach, sensor nodes maintain the collected data based on a novel three-phase summarization strategy. The major idea is that for a specific time period if all sensor reading values are not too much different from each other, appropriate representative values will be generated. As for query processing, we employ a proxy to transform user queries whose range criteria overlap into simpler fragment queries, each with a distinctive spatial and/or temporal predicate. In this way, only queries that have never appeared before are disseminated to sensor network. Consequently, the cost of communication and processing queries in sensor network is remarkably diminished. Furthermore, the experimental results validate that in spite of approximate sensor values obtained by the data summarization method responses to queries are still highly accurate.
机译：本文针对以存储为中心的传感器网络，提出了一种基于代理架构的自适应数据约简方案和历史查询处理技术，以实现高效的能耗。在我们的方法中，传感器节点根据新颖的三相汇总策略维护收集的数据。主要思想是，在特定时间段内，如果所有传感器读数值之间的差异都不太大，则将生成适当的代表值。对于查询处理，我们使用代理将范围标准重叠的用户查询转换为更简单的片段查询，每个片段查询都有独特的空间和/或时间谓词。这样，只有以前从未出现过的查询才能传播到传感器网络。因此，显着降低了传感器网络中通信和处理查询的成本。此外，实验结果证明，尽管通过数据汇总方法获得了近似传感器值，但对查询的响应仍然非常准确。

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