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A NEW APPROACH FOR QUERY DECOMPOSITION AND OPTIMIZATION IN MULTI-SINK WIRELESS SENSOR NETWORKS

机译:多传感器无线传感器网络中查询分解与优化的新方法

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Recent years have seen the emergence of wireless sensor network systems that must support the real time query with the high data rate and various ranges. In wireless sensor networks, observers are interested in spatio-temporal information monitored by sensors. It is crucial to design and employ energy-efficient query processing since nodes are battery-powered and thus their lifetimes are limited. A query can be named according to a physical attributes and range of query. However, the direct distributions of queries into the network will cause a large traffic overhead and high energy consumption. This paper proposes a new query decomposition approach for optimizing query processing in multi-sink sensor networks. Message is sent to a single selected node and the selected node processes the query and sends response back. The nodes between query region and sinks by sharing same query data, decide to decompose query and send whole or some part of query region nodes results back to the sinks. Experimental results show that the proposed approach highly reduces the query overhead in the network and save the energy consumption of sensing nodes.
机译:近年来,已经出现了必须支持高数据速率和各种范围的实时查询的无线传感器网络系统。在无线传感器网络中,观察者对传感器监视的时空信息很感兴趣。由于节点由电池供电,因此使用寿命有限,因此设计和采用节能查询处理至关重要。可以根据物理属性和查询范围来命名查询。但是,将查询直接分配到网络中会导致大量的流量开销和高能耗。本文提出了一种新的查询分解方法,以优化多接收器传感器网络中的查询处理。消息被发送到单个选定节点,并且选定节点处理查询并发回响应。通过共享相同的查询数据,查询区域和接收器之间的节点决定分解查询,并将查询区域节点的全部或部分结果发送回接收器。实验结果表明,该方法大大降低了网络查询开销,节省了传感节点的能耗。

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