AWZone: Ad hoc WiFi Zonification in Post-Disaster Settings

T. Khan, Tusher Chakraborty, A. Islam
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引用次数: 1

Abstract

Indoor localization or zonification in disaster affected settings is a challenging research problem. Existing studies encompass localization and tracking of first-responders or fire fighters using wireless sensor networks. In addition to that, fast evacuation, routing, and planning have also been proposed. However, the problem of locating survivors or victims is yet to be explored to the full potential. State-of-the-art literature often employ infrastructure dependent solutions, for example, WiFi localization using WiFi access points exploiting fingerprinting techniques, Pedestrian Dead Reckoning (PDR) starting from known locations, etc. Owing to unpredictable and dynamic nature of disaster affected environments, infrastructure dependent solutions are seldom useful. Therefore, in this study, we propose an ad hoc WiFi zonification technique (named as AWZone) that is independent of any infrastructural settings. AWZone attempts to perform localization through exploiting commodity smartphones as a beaconing device and successively searching and narrowing down the search space. We perform two testbed experiments. The results reveal that, for a single survivor or victim, AWZone can identify the search space and estimate a location with an approximate 1.5m localization error through eliminating incorrect zones from a set of possible results.
AWZone:灾后设置中的特设WiFi分区
受灾害影响的室内定位或分区是一个具有挑战性的研究问题。现有的研究包括使用无线传感器网络定位和跟踪第一响应者或消防员。除此之外,还提出了快速疏散、路线和规划。然而,寻找幸存者或受害者的问题尚未得到充分的探讨。最先进的文献通常采用依赖于基础设施的解决方案,例如,使用利用指纹技术的WiFi接入点进行WiFi定位,从已知位置开始行人航位推算(PDR)等。由于受灾害影响的环境具有不可预测性和动态性,依赖于基础设施的解决方案很少有用。因此,在本研究中,我们提出了一种独立于任何基础设施设置的临时WiFi分区技术(称为AWZone)。AWZone试图通过将商品智能手机作为信标设备,不断搜索和缩小搜索空间来实现本地化。我们进行了两个试验台实验。结果表明,对于单个幸存者或受害者,AWZone可以通过从一组可能的结果中剔除不正确的区域,识别搜索空间并估计出定位误差约为1.5m的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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