Corona: Energy-Efficient Multi-query Processing in Wireless Sensor Networks
Corona: Energy-Efficient Multi-query Processing in Wireless Sensor Networks
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DOI：
10.1007/978-3-642-12098-5_39
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发表时间：
2010-04
期刊：
影响因子：
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通讯作者：
Raymes Khoury;Tim Dawborn;Bulat Gafurov;Glen Pink;Edmund Tse;Q. Tse;Khaled Almiani;M. Gaber;
中科院分区：
文献类型：
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作者：
Raymes Khoury;Tim Dawborn;Bulat Gafurov;Glen Pink;Edmund Tse;Q. Tse;Khaled Almiani;M. Gaber;
无线传感器网络是环境自动监测的核心基础设施。我们将Corona开发为一个网络内分布式查询处理器，它允许使用声明性查询语言在多个用户之间共享传感器网络。它包括一种在共享无线传感器网络中最小化传感器激活的新方法：我们将新鲜度的概念引入WSN，以便用户可以请求缓存的传感器读数并保证新鲜度。我们进一步集成了一个资源感知框架，该框架允许查询处理器动态适应不断变化的资源级别。通过对具有不同新鲜度和结果精度需求的不同用户进行聚合查询，演示了该系统的功能。
Wireless sensor networks (WSNs) are a core infrastructure for automatic environmental monitoring. We developed Corona as an in-network distributed query processor that allows to share a sensor network between several users with a declarative query language. It includes a novel approach for minimising sensor activations in shared wireless sensor networks: we introduce the notion of freshness into WSN so that users can ask for cached sensor reading with freshness guarantees. We further integrated a resource-awareness framework that allows the query processor to dynamically adapt to changing resource levels. The capabilities of this system are demonstrated with several aggregation queries for different users with different freshness and result precision needs.