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Systematic Review of Location Aware Schemes in the Internet of Things
Sensors ( IF 3.9 ) Pub Date : 2021-05-06 , DOI: 10.3390/s21093228
Muneeb A. Khan , Abdul Saboor , Hyun-chul Kim , Heemin Park

The rapid development in wireless technologies is positioning the Internet of Things (IoT) as an essential part of our daily lives. Localization is one of the most attractive applications related to IoT. In the past few years, localization has been gaining attention because of its applicability in safety, health monitoring, environment monitoring, and security. As a result, various localization-based wireless frameworks are being presented to improve such applications’ performances based on specific key performance indicators (KPIs). Therefore, this paper explores the recently proposed localization schemes in IoT. Initially, this paper explains the major KPIs of localization. After that, a thorough comparison of recently proposed localization schemes based on the KPIs is presented. The comparison includes an overview, architecture, network structure, performance parameters, and target KPIs. At the end, possible future directions are presented for the researchers working in this domain.

中文翻译:

物联网中位置感知方案的系统评价

无线技术的飞速发展将物联网(IoT)定位为我们日常生活的重要组成部分。本地化是与物联网相关的最具吸引力的应用之一。在过去的几年中,本地化由于其在安全性,健康监控,环境监控和安全性方面的适用性而受到关注。结果,提出了各种基于本地化的无线框架,以基于特定的关键性能指标(KPI)改善此类应用程序的性能。因此,本文探讨了最近提出的物联网中的本地化方案。最初,本文解释了本地化的主要KPI。之后,将对最近提出的基于KPI的本地化方案进行彻底的比较。比较包括概述,体系结构,网络结构,性能参数和目标KPI。最后,为该领域的研究人员提供了可能的未来方向。
更新日期:2021-05-06
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