Sensor beamforming with distributed mobile elements in a wireless sensor network
Sensor beamforming with distributed mobile elements in a wireless sensor network
复制标题
无线传感器网络中具有分布式移动元件的传感器波束形成
DOI：
10.1109/ccece.2009.5090146
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
M. Tummala
中科院分区：
文献类型：
--
作者：
W. Lintz;J. McEachen;M. Tummala
分析了无线传感器网络中使用独立移动的天线的传感器阵列波束形成性能，提出了一种性能指标，能够缓解动态节点位置对阵列因子形成的扰动。无线网络已经扩展了阵列设计的可能性，以包括无线连接的元件;然而，元件的静态定位仍然是确定和应用相干阵列波束形成所需的权重的核心。无线网络允许参与者的移动性，但应用的权重必须为每个位置更新进行改革，以保持目标的焦点。虽然确定性运动允许容易的权重转换，但随机元素运动需要显著的网络能量以通过位置更新来改革权重。分析了阵列因子与阵元随机运动的关系。运动和阵列因子幅度概率之间的关系发展到预期的目标矢量。所提出的关系被证明是可评估的和有用的，减少网络流量和处理开销，同时产生操作上可接受的增益对目标。该结果与恒定位置更新模型在整个网络的传感器能量使用方面相比毫不逊色。
Sensor array beamforming performance using independently mobile antennas connected through a wireless sensor network is analyzed where a performance metric is proposed enabling mitigation of the perturbation of array factor formation caused by dynamic node positions. Wireless networking has expanded array design possibilities to include wirelessly connected elements; however, static positioning of elements remains central to determination and application of weights necessary for coherent array beam formation. Wireless networks allow for participant mobility, but applied weights must be reformed for each position update in order to maintain target focus. While deterministic motion allows easy weight translation, random element motion requires significant network energy to reform weights through position updates. The relationship between array factor and stochastic element motion is analyzed. A relationship is developed between motion and array factor magnitude probability towards the intended target vector. The relationship proposed is shown to be assessable and useful for reducing network traffic and processing overhead and while producing operationally acceptable gain towards the target. The result compares favorably against a constant position updating model in terms of sensor energy usage across the network.
SOCR：统计在线计算资源。
影响因子：
5.8
作者：
Dinov,IvoD
通讯作者：
Dinov,IvoD