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A Coverage-Enhancing Method for 3D Directional Sensor Networks

机译:3D定向传感器网络的覆盖增强方法

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In conventional directional sensor networks, coverage control for each sensor is based on a 2D directional sensing model. However, 2D directional sensing model cannot accurately characterize the actual application scene of image/video sensor networks. To remedy this deficiency, we propose a 3D directional sensor coverage-control model with tunable orientations. In order to improve the efficiency of target-detecting, we develop a virtual potential-field based coverage-enhancing scheme to improve the coverage performance. Furthermore, we apply the simulated annealing algorithm for objective optimization. The extensive simulations show the effectiveness of our proposed 3D sensing model and coverage enhancing method.
机译:在常规的定向传感器网络中,每个传感器的覆盖范围控制均基于2D定向传感模型。然而,二维方向感测模型不能准确地表征图像/视频传感器网络的实际应用场景。为了弥补这一缺陷,我们提出了一种具有可调方向的3D方向传感器覆盖率控制模型。为了提高目标检测的效率,我们开发了一种基于虚拟势场的覆盖增强方案,以提高覆盖性能。此外,我们将模拟退火算法应用于目标优化。广泛的仿真显示了我们提出的3D传感模型和覆盖增强方法的有效性。

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