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Power-Efficiency Data Gathering Schemes for Wireless Sensor Networks

机译:无线传感器网络的电力效率数据收集方案

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We develop energy-efficiency data gathering schemes for wireless sensor networks (WSN), where the channel is characterized by the slow Rayleigh fading. We consider the homogeneous WSN which consists of a large number of sensor nodes equipped with the identical hardware. In the WSN, the sensor nodes are distributed randomly in a specific area. A mobile basestation periodically stops by the area to collect the data from the senor nodes. Energy efficiency, which is the performance metric we adopt for our scheme design, is defined as the energy consumption by transmitting a bit sensing information. We develop analytical models to study the proposed data gathering schemes. First, we demonstrate that clustering and data-fusion technology can help improve the energy efficiency compared to the naive data gathering scheme where the sensor nodes send sensing data directly to the mobile basestation. Second, we show that making full use of the channel state information (CSI) can further reduce the energy consumption for data gathering. Finally, we found that there is a tradeoff between the energy consumption and the data gathering delay.
机译:我们开发用于无线传感器网络(WSN)的能效数据收集方案,其中通道的特征在于瑞利慢速衰落。我们考虑由配备有相同硬件的大量传感器节点组成的同类WSN。在WSN中,传感器节点在特定区域中随机分布。移动基站通过该区域定期停止,以从参考者节点收集数据。能源效率,即我们采用我们的方案设计的性能指标,被定义为通过传输比特感测信息来消耗能耗。我们开发分析模型来研究所提出的数据收集方案。首先,我们证明,与天真数据收集方案相比,聚类和数据融合技术可以帮助提高能量效率,传感器节点将传感数据直接发送到移动基站。其次,我们表明充分利用信道状态信息(CSI)可以进一步降低数据收集的能量消耗。最后,我们发现能量消耗与数据收集延迟之间存在权衡。

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