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A Review of Advanced Localization Techniques for Crowdsensing Wireless Sensor Networks

机译:大众化无线传感器网络的先进定位技术综述

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摘要

The wide availability of sensing modules and computing capabilities in modern mobile devices (smartphones, smart watches, in-vehicle sensors, etc.) is driving the shift from mote-class wireless sensor networks (WSNs) to the new era of crowdsensing WSNs. In this emerging paradigm sensors are no longer static and homogeneous, but are rather worn/carried by people or cars. This results in a new type of wide-area WSN—crowd-based and overlaid on top of heterogeneous communication technologies—that paves the way for very innovative applications. To this aim, the positioning of mobile devices operating in the network becomes crucial. Indeed, the pervasive, almost ubiquitous availability of smart devices brings unprecedented opportunities but also poses new research challenges in their precise location under mobility and dense-multipath environments typical of urban and indoor scenarios. In this paper, we review recent advances in the field of wireless positioning with focus on cooperation, mobility, and advanced array processing, which are key enablers for the design of novel localization solutions for crowdsensing WSNs.
机译:现代移动设备(智能手机,智能手表,车载传感器等)中传感模块和计算功能的广泛可用性,正推动着从单级无线传感器网络(WSN)到人群感知WSN的新时代的转变。在这种新兴的范式传感器中,传感器不再是静态且均匀的,而是被人或汽车磨损/携带的。这导致了一种新型的广域WSN(基于人群,并覆盖在异构通信技术之上),为创新的应用铺平了道路。为了这个目的,在网络中运行的移动设备的定位变得至关重要。确实,智能设备无处不在,几乎无处不在的可用性带来了前所未有的机遇,但在城市和室内场景所特有的移动性和密集多径环境下,如何对其精确定位提出了新的研究挑战。在本文中,我们以合作,移动性和高级阵列处理为重点,回顾了无线定位领域的最新进展,这些进展是设计用于感知WSN的新型本地化解决方案的关键因素。

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