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Weaving a Proper Net to Catch Large Objects

机译:编织适当的网以捕捉大物体

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Wireless sensor networks are usually over-engineered, i.e., more than required sensors are deployed and remain active in order to cover each point in the monitored field with a high probability at any time instance. Intuitively, when the size and the shape of objects are considered, any net with holes no smaller than the size of the object would work fine. In this paper, we build a mathematical model to investigate the impact of size and shape of objects on network configuration. We derive analytical results that provide practitioners with insights on how to weave an effective sensor "net" for object detection with minimum number of active sensors.
机译:无线传感器网络通常过度设计,即,部署的需要多于所需的传感器并保持活动状态,以便在任何时间实例中具有高概率的受监视字段中的每个点。直观地,当考虑物体的尺寸和形状时,任何带有孔的任何网的净值都不能正常工作。在本文中,我们构建了一个数学模型,以研究对象对网络配置的影响和形状的影响。我们推出了分析结果,为从业者提供了有关如何编织有效传感器“NET”的有效传感器的洞察,用于对象检测,具有最小数量的有源传感器。

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