Directional Sensor(方向传感器)研究综述
Directional Sensor 方向传感器 - We study the “Maximum Coverage with Minimum Sensors” (MCMS) problem for VSNs consisting of randomly deployed targets and directional sensors. [1] Unlike convectional omnidirectional sensors that consistently have an omniangle of detecting range, directional sensors may have a restricted point of detecting range because of specialized requirements or cost considerations. [2] The Greedy Principle is applied by choosing the nearest possible vacant path obtained by the directional sensor. [3] Thus, the circular buckypaper sensor as a kind of omnidirectional sensor was chosen to monitor the impact damage. [4] Closed-loop bidirectional Sensor-Brain-Machine Interface (SBMI) systems with wireless communication capability have shown significant value in neuroscience studies recently. [5] However, the sensing capabilities of directional sensors are usually affected by environmental factors and intrinsic properties. [6] The traditional deployment research on wireless sensor networks (WSNs) has mainly focused on 2D plane and 3D full space; also, the sensors considered are almost always omni-directional sensors and are usually homogeneous. [7] Additionally, a relative area gadget in view of a flag producer (Set on the target single person) and an directional sensor. [8] This model predicts that the new classes of cells we found can improve the sensitivity of the head-direction system to directional sensory cues, and support angular-velocity integration. [9] Cardioid sensors offer low sidelobes/backlobes compared to figure-8 bi-directional sensors (like velocity-sensors). [10] Conventional HRM can yield imprecise measurements of UES resting pressure given its unidirectional sensors and averaging of circumferential pressure. [11]我们研究了由随机部署的目标和定向传感器组成的 VSN 的“最小传感器的最大覆盖范围”（MCMS）问题。 [1] 与始终具有全角度检测范围的对流全向传感器不同，定向传感器可能由于特殊要求或成本考虑而具有有限的检测范围点。 [2] 通过选择由方向传感器获得的最近的可能空闲路径来应用贪心原理。 [3] 因此，选择圆形巴克纸传感器作为一种全向传感器来监测冲击损伤。 [4] 具有无线通信能力的闭环双向传感器-脑-机接口 (SBMI) 系统最近在神经科学研究中显示出重要价值。 [5] 然而，定向传感器的传感能力通常受环境因素和内在特性的影响。 [6] 传统的无线传感器网络（WSN）部署研究主要集中在2D平面和3D全空间；此外，所考虑的传感器几乎总是全向传感器，并且通常是同质的。 [7] 此外，一个相对区域的小工具，可以看到一个标志生成器（设置在目标单人上）和一个方向传感器。 [8] 该模型预测，我们发现的新细胞类别可以提高头部方向系统对方向感觉线索的敏感性，并支持角速度整合。 [9] 与数字 8 双向传感器（如速度传感器）相比，心形传感器提供低旁瓣/后瓣。 [10] 鉴于其单向传感器和圆周压力的平均值，传统的 HRM 可能会产生对 UES 静息压力的不精确测量。 [11]
obtaining optimal planar
In this paper, an approach for obtaining optimal planar antenna arrays consisting of omnidirectional sensors for the direction-of-arrival estimation is proposed. [1] In this paper an approach of obtaining optimal planar antenna arrays consisting of omnidirectional sensors is proposed. [2] In this paper an approach of obtaining optimal planar antenna arrays consisting of omnidirectional sensors is proposed. [3]在本文中，提出了一种获得最佳平面天线阵列的方法，该阵列由全向传感器组成，用于到达方向估计。 [1] 在本文中，提出了一种获得由全向传感器组成的最佳平面天线阵列的方法。 [2] nan [3]
directional sensor network 定向传感器网络
In recent years, the use of directional sensor networks (DSNs) has continued to rise increasingly, which is due to their extensive use in many situations. [1] One of the challenging problems in directional sensor networks is maximizing target coverage while minimizing the amount of energy consumption. [2] A closed belt is more difficult to construct than an open belt, as it has higher requirements, especially for the directional sensor networks (DSNs) with rotatable sensors. [3] Directional sensor networks are ad hoc networks which are utilized in different applications to monitor and coverage all of the specific targets in the observing fields permanently. [4] Coverage enhancement is a fundamental issue in directional sensor network. [5] With the advance on wireless energy transfer, it is reliable and favorable to power a directional sensor network (DSN) by wireless charging. [6] In directional sensor networks, sensors are able to observe the target only in specified (and certainly changeable) directions. [7] Coverage is a vital indicator which reflects the performance of directional sensor networks (DSNs). [8] Because the sensing angle of a camera is limited, the placement of a camera network is more complicated compared with an omnidirectional sensor network. [9] The coverage control problem of mobile directional sensor networks (DSNs) via a steam function approach, is investigated in the paper. [10] In recent years, the directional sensor networks have been attractive to researchers due to their wide and different applications. [11] The target coverage in directional sensor networks (DSNs) faces two major challenges: prolonging network lifetime, and providing fault tolerance. [12] Advances in directional sensors technology and impressive development of wireless sensor networks, created a new class of wireless sensor networks called directional sensor networks. [13] Existing clustering algorithms for directional sensor networks mainly focused on maximizing network lifetime and/or data delivery performances. [14] Employing directional antenna in Wireless Sensor Networks (WSNs) constitute Directional Sensor Networks (DSNs) which provides potential benefits such as longer coverage range, reduced interference, diminished power requirement and spatial reusability. [15] In directional sensor networks research, target event detection is currently an active research area, with applications in underwater target monitoring, forest fire warnings, border areas, and other important activities. [16] We study the deployment issue of heterogeneous wireless directional sensor networks in 3-D smart cities. [17] In this paper, we consider the problem of deploying energy-harvesting directional sensor networks for optimal target coverage. [18] In this paper, we calculate the critical density in non-orientation directional sensor network in which the orientations of the sensors are random and the sensors are deployed according to Poisson point process. [19]近年来，定向传感器网络（DSN）的使用不断增加，这是由于它们在许多情况下的广泛使用。 [1] 定向传感器网络中的一个具有挑战性的问题是最大化目标覆盖范围，同时最小化能源消耗量。 [2] nan [3] nan [4] nan [5] 随着无线能量传输的进步，通过无线充电为定向传感器网络（DSN）供电是可靠且有利的。 [6] 在定向传感器网络中，传感器只能在指定的（当然是可变的）方向上观察目标。 [7] 覆盖率是反映定向传感器网络（DSN）性能的重要指标。 [8] 由于摄像头的感应角度有限，与全向传感器网络相比，摄像头网络的布设更为复杂。 [9] nan [10] 近年来，定向传感器网络因其广泛和不同的应用而受到研究人员的青睐。 [11] 定向传感器网络 (DSN) 中的目标覆盖面临两大挑战：延长网络寿命和提供容错能力。 [12] 定向传感器技术的进步和无线传感器网络的显着发展，创造了一种称为定向传感器网络的新型无线传感器网络。 [13] 用于定向传感器网络的现有聚类算法主要集中在最大化网络寿命和/或数据传输性能。 [14] nan [15] 在定向传感器网络研究中，目标事件检测目前是一个活跃的研究领域，在水下目标监测、森林火灾预警、边境地区等重要活动中都有应用。 [16] nan [17] nan [18] nan [19]
directional sensor control
However, it remains unclear what advantage this bidirectional sensor control offers stressed cells. [1] However, it remains unclear what advantage this bidirectional sensor control offers stressed cells. [2]然而，目前尚不清楚这种双向传感器控制对压力细胞有什么好处。 [1] 然而，目前尚不清楚这种双向传感器控制对压力细胞有什么好处。 [2]