Wireless Personal Communications ( IF 2.2 ) Pub Date : 2020-05-25 , DOI: 10.1007/s11277-020-07496-8 Visalakshi Annepu , A. Rajesh
Node localization is a fundamental task in wireless sensor networks as it is useful for several localization based protocols and applications. Node localization using Global Poisoning System (GPS) employed fixed terrestrial anchor nodes suffers from high deployment cost and poor localization accuracy in GPS denied locations. These issues can be easily handled by deploying movable Unmanned Aerial Vehicles (UAVs). A movable UAV equipped with a single GPS module virtually increases number of anchor nodes and localizes a node at different locations. Hence, UAVs are cost effective and also provides high localization accuracy. As the flying altitude of UAV greatly influence localization accuracy, the present work firstly optimizes the flying height and then the node localization is defined as least square optimization problem using this optimal height. Since the classical received signal strength indicator based multilateration results high localization error, the least square localization using optimization techniques is found to be better alternative. The recently proposed Artificial Bee Colony (ABC) algorithm is a powerful optimization technique that can be applied for this optimization problem to achieve high accuracy. Thus, this paper aims at designing an ABC localization technique using UAV anchors to achieve minimum localization error. Further, we provide detailed simulation analysis to support the proposed ABC localization scheme.
中文翻译:
无人机辅助无线传感器网络中节点定位的高效人工蜂群算法的实现
节点本地化是无线传感器网络中的一项基本任务,因为它对几种基于本地化的协议和应用程序很有用。使用全球中毒系统(GPS)的固定地面锚节点进行节点定位存在部署成本高和GPS拒绝位置中定位精度差的问题。通过部署可移动无人飞行器(UAV)可以轻松解决这些问题。配备有单个GPS模块的可移动无人机实际上增加了锚节点的数量,并将节点定位在不同的位置。因此,无人机是具有成本效益的,并且还提供了很高的定位精度。由于无人机的飞行高度极大地影响了定位精度,因此本文首先对飞行高度进行了优化,然后利用该最佳高度将节点定位定义为最小二乘优化问题。由于基于经典接收信号强度指示器的多边定位导致较高的定位误差,因此发现使用优化技术的最小二乘定位是更好的选择。最近提出的人工蜂群(ABC)算法是一种强大的优化技术,可以应用于此优化问题以实现高精度。因此,本文旨在设计一种使用无人机锚点的ABC定位技术,以实现最小的定位误差。此外,我们提供详细的仿真分析以支持拟议的ABC本地化方案。最近提出的人工蜂群(ABC)算法是一种强大的优化技术,可以应用于此优化问题以实现高精度。因此,本文旨在设计一种使用无人机锚点的ABC定位技术,以实现最小的定位误差。此外,我们提供详细的仿真分析以支持拟议的ABC本地化方案。最近提出的人工蜂群(ABC)算法是一种强大的优化技术,可以应用于此优化问题以实现高精度。因此,本文旨在设计一种使用无人机锚点的ABC定位技术,以实现最小的定位误差。此外,我们提供详细的仿真分析以支持拟议的ABC本地化方案。