Andre L. L. Aquino, A. Loureiro, A. O. Fernandes, R. Mini
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引用次数: 3
Abstract
This work evaluates the OGK (On a Good Knowledge), an in-network data stream based reduction algorithm for real-time wireless sensor network (WSN) applications. OGK uses the knowledge about the stream items to choose the appropriate reduction solution in real-time WSN applications. OGK is integrated in forward tree routing phase to allow the stream item reduction, by routing nodes, when the stream item cannot be delivered on time. Simulation results reveal the efficiency of OGK in achieving the deadlines without loosing data representativeness in real-time applications.
本研究评估了OGK (On a Good Knowledge),这是一种用于实时无线传感器网络(WSN)应用的基于网络内数据流的约简算法。在实时WSN应用程序中,OGK使用有关流项的知识来选择适当的缩减解决方案。OGK集成在正向树路由阶段,当流项不能按时交付时,可以通过路由节点减少流项。仿真结果表明,在实时应用中,OGK在不丢失数据代表性的情况下,能够有效地完成最后期限。