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A new query processing model for maintaining data temporal consistency in Wireless Sensor Networks

机译:用于维护无线传感器网络中数据时间一致性的新查询处理模型

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Maintaining data temporal consistency in a Wireless Sensor Network (WSN) has attracted the attention of many researchers. Nowadays, there are many applications based on WSN which require consistent and valid measures to reflect the current state of the environment being monitored, or to quickly respond to some critical situations. In this paper, we propose a new query processing mechanism, giving each node the possibility to control the temporal validity of data in order to reduce the amount of invalid data delivered by WSN. We also provide a new query model, by introducing new SQL clauses, that allows the user setting the data validity interval and assigning a deadline to each query. Finally, we discuss the performances of our query processing approach and its capacity to maintain the data temporal consistency through two scenarios. The first scenario consists of injecting a single query in the network, then receiving periodic responses from sensors, during a period set by the user. In the second scenario, the user sends periodic queries to sensors according to an epoch, thereafter, it waits for query responses. We concluded by discussing the ability of network to maintain the data temporal consistency, based on the average of query responses time and the amount of valid data transmitted across the network.
机译:在无线传感器网络(WSN)中保持数据时间一致性已经引起了许多研究人员的关注。如今,有许多基于WSN的应用程序需要一致且有效的措施来反映所监视环境的当前状态,或对某些紧急情况做出快速响应。在本文中,我们提出了一种新的查询处理机制,为每个节点提供控制数据时间有效性的可能性,以减少WSN传递的无效数据量。通过引入新的SQL子句,我们还提供了一个新的查询模型,该模型允许用户设置数据有效期并为每个查询分配截止日期。最后,我们讨论了查询处理方法的性能及其在两种情况下保持数据时间一致性的能力。第一种情况是在用户设置的时间段内,在网络中注入单个查询,然后接收来自传感器的定期响应。在第二种情况下,用户根据一个时期向传感器发送定期查询,此后,它等待查询响应。我们根据查询响应时间的平均值和跨网络传输的有效数据量,讨论了网络保持数据时间一致性的能力。

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