The movement of sensors within cluster in WSN is Elliptic in nature

R. Dutta, S. Gupta, M. Das
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Abstract

A wireless sensor network (WSN) has to maintain a desirable sensing area of coverage and periodically report sensed data to the administrative center (i.e., base station, router etc.). Then the coverage area of the movement of sensors and lifetime are two important problems in a WSN due to constraint of limited battery energy. Sensors are usually deployed randomly in coverage area of interest and therefore the sensor tracking become one of the biggest challenge in Wireless Sensor Networks (WSNs). Many works done to track the sensor nodes in WSNs and all previous theoretical analyses on the coverage area and lifetime are primarily focused on the random uniform distribution of sensors. Here is depicting a real analysis in WSNs, In this paper, we try to find out the coverage area of sensors and best of our knowledge we first provide a mathematical and analytical framework for the coverage area of the deployment sensor nodes in a WSN that follows a multivariable normal distribution or Gaussian distribution. The multivariate normal distribution is often used to describe correlated real-valued random variables each of which clusters around a mean value which gives the monitored region. We determine the randomly deployed sensor nodes, follows an Elliptic area in wireless sensor network.
无线传感器网络簇内传感器的运动本质上是椭圆的
无线传感器网络(WSN)必须保持理想的传感覆盖区域,并定期向管理中心(即基站、路由器等)报告传感数据。由于电池能量的限制,传感器运动的覆盖范围和寿命是无线传感器网络的两个重要问题。传感器通常随机部署在目标覆盖区域,因此传感器跟踪成为无线传感器网络(WSNs)的最大挑战之一。许多对传感器节点的跟踪工作以及以往对传感器覆盖面积和寿命的理论分析主要集中在传感器的随机均匀分布上。在本文中,我们试图找出传感器的覆盖区域,并尽我们所知,我们首先为遵循多变量正态分布或高斯分布的WSN中部署传感器节点的覆盖区域提供数学和分析框架。多元正态分布通常用于描述相关的实值随机变量,每个随机变量都围绕一个给出监测区域的平均值聚集。在无线传感器网络中,我们确定随机部署的传感器节点,遵循一个椭圆区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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