3D weighted centroid algorithm & RSSI ranging model strategy for node localization in WSN based on smart devices
3D weighted centroid algorithm & RSSI ranging model strategy for node localization in WSN based on smart devices
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DOI：
10.1016/j.scs.2018.02.022
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发表时间：
2018-05-01
影响因子：
11.7
通讯作者：
Khan, Fakhri Alam
中科院分区：
文献类型：
--
作者：
Shah, Syed Bilal;Zhe, Chen;Khan, Fakhri Alam
现有的研究是通过利用各种传感器和基于互联或物联网的程序，进行完全室内或完全露天的位置跟踪。有人提出了一种基于两种环境、使用物理设备的单一位置区域检测创新，但这种安排很有限。本文旨在利用单个远程传感器在室内和露天环境中跟踪客户位置，而随后的干扰可忽略不计。现有的定位装置大多使用额外的设备来实现更高的定位精度。接收信号强度指示器（RSSI）是遥感器的标准元件，定位方法不需要任何额外设备。为了克服这些问题，我们需要研究如何通过信号强度模型和三维测量技术来提高距离精度。路径损耗指数（PLE）决定了 RSS 的分离。如果 RSS 在分隔处减弱，PLE 将测量速率；其重要性取决于特殊的扩散环境。定位时，系统需要位置数据。大部分系统使用二维定位，而作为建议的工作，则是使用加权中心点限制计算的三维定位来实现定位。这里考虑用三角形金字塔代替三圆相交法进行三维定位，其中金字塔被分为四个二维表面。它由环境的不同部分组成，与其他现有研究相比，发射器和接收器的部分具有不同的 PLE。许多研究人员使用二维定位系统，但在某些情况下，我们必须使用三维定位系统。因此，所提出的想法基本上是基于系统的三维中心点限制。
The existing research is about location tracking either completely indoor or altogether on open air by utilizing various sensors and procedures based on inter-networking or internet of things. A limited arrangement has been proposed to embrace a single location area detecting innovation that based on both environments using physical devices. This paper intends to track a client position in both indoor and open-air situations by utilizing a single remote sensor with negligible subsequent bumble. The huge majority of the existing localization arrangements use additional equipment supplies to accomplish higher limitation precision. Received signal strength indicator (RSSI) was the standard element of remote sensors; the localization methods won't have any extra equipment. To overcome the problems, we need to study how to grow more precision distance for the strength of the signal model and 3dimensional measurement techniques. The Path Loss Exponent (PLE) determines the separation of RSS. In this event that RSS diminish at the separation, PLE will measure the rate; its esteem depends on the extraordinary proliferation environment. For positioning, the system requires location data. Most part use two-dimensional positioning as a part of the system with moving toward localization with three-dimensional positioning with weighted centroid restriction calculation as a proposed work. Here considers the triangular pyramid to perform three-dimensional positioning instead of three circle intersection method, in which the pyramid is divided into four two-dimensional surfaces. It consists of different parts of the environment where transmitter and receiver's parts have the different PLE when compared to others existing research. Many researchers used two-dimensional positioning system, however, some circumstances we have to go through in three-dimensional position system. So, the proposed idea is basically based on the three-dimensional centroid limitation of systems.