Ubiquitous Localization (UbiLoc): A Survey and Taxonomy on Device Free Localization for Smart World
Ubiquitous Localization (UbiLoc): A Survey and Taxonomy on Device Free Localization for Smart World
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DOI：
10.1109/comst.2019.2915923
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发表时间：
2019-01-01
影响因子：
35.6
通讯作者：
Ranjan, Rajiv
中科院分区：
文献类型：
--
作者：
Shit, Rathin Chandra;Sharma, Suraj;Ranjan, Rajiv
技术所设想的“智能世界”将通过智能渗透到无处不在的事物中来实现，包括物理对象、网络实体、社会元素或个人以及人类思维。智能世界的发展是通过无线传感器网络（wsn）在那些被识别为事物的组件中的各种应用而实现的。这样一个智能世界将具有由位置信息显著控制的特征。智能世界服务的控制和策略信息（通常称为基于位置的服务（lbs））由位置数据管理。因此，本地化成为智能世界设施的关键使能技术。在性质上一般分为主动技术和被动技术。主动定位是一种被广泛采用的定位方案，目标被检测和跟踪时携带标签或附加设备。另一类是被动方法，它将定位目标定义为不携带标签或设备，因此也称为无设备定位（DFL）或无传感器定位。被动方法非常适合开发具有泛在定位的各种智能世界应用程序。DFL方案在智能世界生态系统中有着广泛的应用场景。一些值得注意的例子是占用检测、身份定义、定位、手势检测、活动监控、行人和车辆交通流量监控、安全保障、基于环境智能的系统、紧急救援行动、智能工作空间以及患者或老年人监控。本文对DFL技术的革命进行了综述和全面的分类。此外，在DFL原则的背景下分析了智能世界范式的出现。此外，本文还广泛讨论了应用领域中存在的问题，并讨论了多目标定位和计数方法的改进策略。最后，提出了当前的研究趋势和未来的研究方向。
The "Smart World" envisioned by technology will be achieved by the penetration of intelligence into ubiquitous things, including physical objects, cyber-entities, social-elements or individuals, and human thinking. The development of Smart World is enabled by diverse applications of wireless sensor networks (WSNs) into those components identified as things. Such a smart-world will have features controlled significantly by the location information. Control and Policy information of Smart World services, often addressed as location-based services (LBSs), are governed by location data. Localization thus becomes the key enabling technology for Smart World facilities. It is generally classified as active and passive techniques in nature. Active localization is a widely adopted localization scheme where the target is detected and tracked carries a tag or attached device. The other category, Passive methods, defines targets to be localized as free of carrying a tag or device, hence also referred to as device-free localization (DFL) or sensor-less localization. The passive approach is a well suited for the development of diverse smart world applications with ubiquitous localization. DFL schemes fall into a wide range of application scenarios within the Smart World ecosystem. A few notable examples are occupancy detection, identity definition, positioning, gesture detection, activity monitoring, pedestrian and vehicle-traffic flow surveillance, security safeguarding, ambient intelligence-based systems, emergency rescue operations, smart work-spaces and patient or elderly monitoring. In this paper, the revolution of DFL technologies have been reviewed and classified comprehensively. Further, the emergence of the Smart World paradigm is analyzed in the context of DFL principles. Moreover, the inherent challenges within the application domains have been extensively discussed and improvement strategies for multi-target localization and counting approach are discussed. Finally, current trends and future research directions have been presented.