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A Query Service for Raw Sensor Data

机译:原始传感器数据的查询服务

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Sensor networks generate a compact form of data in order to efficiently use the available power of the device. Query engines require a richer form of this data in order that users can express meaningful and useful queries. This enrichment of the sensor stream leads to an inevitable increase in the volume of data transported across the network. If this data is enriched and stored in a database on the same server and used only for offline queries, matters such as enrichment time and increased data volumes can usually be managed quite efficiently. However, when there is a requirement to query sensor output in real time, the time required to enrich data and increased data volumes lead to slow query response times. In this research, we present the liveSensor system which offers the benefits of an enriched sensor stream, providing a high level query interface to the user. However, it delays the enrichment of sensor data until after query results have been generated and thus, maintains a high level of performance by processing raw sensor streams.
机译:传感器网络生成紧凑形式的数据,以便有效地使用设备的可用功率。查询引擎需要这种数据的更丰富的形式,以便用户可以表达有意义和有用的查询。传感器流的这种丰富导致不可避免地增加了跨网络传输的数据量。如果此数据经过充实并存储在同一服务器上的数据库中,并且仅用于脱机查询,则通常可以非常有效地管理诸如充实时间和增加的数据量之类的问题。但是,当需要实时查询传感​​器输出时,充实数据和增加数据量所需的时间会导致查询响应时间变慢。在这项研究中,我们介绍了liveSensor系统,该系统提供了丰富的传感器流的优势,为用户提供了高级查询界面。但是,它会延迟传感器数据的富集,直到生成查询结果之后为止,从而通过处理原始传感器流来保持高水平的性能。

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