Optimized localization using naked mole-rat algorithm in dynamic wireless sensor networks,International Journal of Communication Systems

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Optimized localization using naked mole-rat algorithm in dynamic wireless sensor networks
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2021-04-27 , DOI: 10.1002/dac.4832
Prabhjot Singh ₁ , Parulpreet Singh ₂ , Nitin Mittal ₁

Affiliation

Localization in wireless sensor networks (WSNs) becomes an essential and important part of research in past few years. Finding location of the occurring event is essential in most of the applications, namely, monitoring of objects, tracking of animals and various resources placed in the indoor and outdoor environments. WSN consists of sensors placed in huge amounts across large regions of globe to perform various tasks such as data sensing and communicating with other devices. The aim of this research is to analyse various location optimization techniques to address a WSN localization problem and assigning appropriate coordinates to the unknown sensor nodes. In this paper, the authors have introduced the concept of sensor node localization in a 2D dynamic environment using a single anchor node (static) along with virtual anchors to locate target nodes (dynamic) using hexagonal projection technique, and further, the estimated target node coordinates are optimized using novel naked mole-rat algorithm (NMRA). This paper discusses the performance of various location optimization techniques available in literature with NMRA-based technique in terms of localization error and number of localized nodes.

中文翻译：

在动态无线传感器网络中使用裸鼹鼠算法优化定位

在过去几年中，无线传感器网络 (WSN) 中的定位成为研究的重要组成部分。在大多数应用中，找到发生事件的位置是必不可少的，即物体的监控、动物的跟踪以及放置在室内和室外环境中的各种资源。WSN 由遍布全球大片区域的大量传感器组成，用于执行各种任务，例如数据传感和与其他设备的通信。本研究的目的是分析各种位置优化技术，以解决 WSN 定位问题并为未知传感器节点分配适当的坐标。在本文中，作者在二维动态环境中引入了传感器节点定位的概念，使用单个锚节点（静态）和虚拟锚使用六边形投影技术定位目标节点（动态），此外，估计的目标节点坐标使用优化新的裸鼹鼠算法（NMRA）。本文讨论了基于 NMRA 技术的文献中可用的各种位置优化技术在定位误差和定位节点数量方面的性能。

更新日期：2021-06-03

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