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Overhearing-based Data Transmission Reduction for Periodical Data Gathering in Wireless Sensor Networks

机译:无线传感器网络中的周期性数据收集的超读基于数据传输减少

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In this paper, we propose a novel energy-efficient data transmission reduction method for periodical data gathering in Wireless Sensor Networks (WSNs). Our method exploits overhearing, which is a typical characteristic of wireless communications. In our method, each node in a WSN autonomously determines whether its own reading is redundant or not by using the overheard packets transmitted by its neighbors. The redundancy of a reading is evaluated by a simple spatial interpolation using the readings of its neighbors. If the reading is determined as redundant, the node stops transmitting it. Furthermore, we present an evaluation based on simulation experiments with various parameters and show that our method suppresses data transmissions and reduces total energy consumption.
机译:在本文中,我们提出了一种新颖的节能数据传输减少方法,用于在无线传感器网络(WSNS)中收集的周期性数据。我们的方法利用过化,这是无线通信的典型特征。在我们的方法中,WSN中的每个节点自主地确定其自己的读数是否是冗余的,而不是使用其邻居传输的过热数据包。使用邻居的读数,通过简单的空间插值来评估读数的冗余。如果读数被确定为冗余,则节点停止发送它。此外,我们基于具有各种参数的仿真实验的评估,并表明我们的方法抑制了数据传输并降低了总能量消耗。

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