聚集运算是传感器网络查询处理中最重要的一个运算。
Aggregation is one of the most important operations in query processing for sensor networks.
在无线传感器网络环境中，用户经常提交空间范围查询以获取网络某局部区域的统计信息，如最大温度、平均湿度等。
In wireless sensor networks, the users often submit spatial window queries to obtain the summary information of a local area in the network such as maximum temperature, average humidity, et al.
提出一种无线传感器网络嵌入式网关的设计方案和无线传感器网络数据管理与查询模式。
An embedded gateway of wireless sensor network was designed, and a management and query mode was proposed.
针对传感器网络中一类新查询——节点个数约束查询，提出能量有效的查询处理算法。
An energy efficient query processing algorithm is proposed to process a new kind of query named node number constraint query for wireless sensor networks.
针对不同的查询要求，分析适合于无线传感器网络局部查询和全局查询的查询路由协议是论文的主要研究内容。
The purpose of the thesis is to investigate the energy efficient local query and global query protocols for wireless sensor networks (WSN).
因此，如何能量高效地对无线传感器网络中的多查询进行优化，降低网络节点的能耗是本论文的研究重点。
Therefore, we focus on optimizing multiple queries energy efficiently to reduce energy consumption of sensor nodes. This thesis analyzes multiple queries in-network processing technologies in WSNs.
在基于查询的无线传感器网络中，组播技术的应用可大幅减少传感器节点的能量消耗，延长节点寿命。
By applying multicast technology, the energy consumption can be significantly reduced, and the life time of nodes can be extended in query-based wireless sensor networks.
在基于查询的无线传感器网络中，组播技术的应用可大幅减少传感器节点的能量消耗，延长节点寿命。
By applying multicast technology, the energy consumption can be significantly reduced, and the life time of nodes can be extended in query-based wireless sensor networks.
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