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High-Resolution Images with Minimum Energy Dissipation and Maximum Field-of-View in Camera-Based Wireless Multimedia Sensor Networks

机译:基于摄像头的无线多媒体传感器网络中具有最低能耗和最大视野的高分辨率图像

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High-resolution images with wide field of view are important in realizing many applications of wireless multimedia sensor networks. Previous works that generally use multi-tier topology and provide such images by increasing the capabilities of camera sensor nodes lead to an increase in network cost. On the other hand, the resulting energy consumption is a considerable issue that has not been seriously considered in previous works. In this paper, high-resolution images with wide field of view are generated without increasing the total cost of network and with minimum energy dissipation. This is achieved by using image stitching in WMSNs, designing a two-tier network topology with new structure, and proposing a camera selection algorithm. In the proposed two-tier structure, low cost camera sensor nodes are used only in the lower-tier and sensor nodes without camera are considered in the upper-tier which decreases total network cost as much as possible. Also, since a simplified image stitching method is implemented and a new algorithm for selecting active nodes is utilized, energy dissipation in the network is decreased by applying the proposed methods. The results of simulations supported the preceding statements.
机译:具有宽视野的高分辨率图像对于实现无线多媒体传感器网络的许多应用很重要。以前的工作通常使用多层拓扑并通过增加相机传感器节点的功能来提供此类图像,从而导致网络成本增加。另一方面,由此产生的能量消耗是一个相当大的问题,以前的工作没有认真考虑过。在本文中,在不增加网络总成本且能耗最小的情况下,生成了具有宽视场的高分辨率图像。这是通过在WMSN中使用图像拼接,设计具有新结构的两层网络拓扑并提出相机选择算法来实现的。在提出的两层结构中,低成本摄像机传感器节点仅在较低层中使用,而没有摄像机的传感器节点在较高层中被考虑,这将最大程度地降低总网络成本。而且,由于实现了简化的图像拼接方法并且利用了用于选择活动节点的新算法,因此通过应用所提出的方法可以减少网络中的能量耗散。模拟结果支持上述陈述。

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