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SEND: A Situation-Aware Emergency Navigation Algorithm with Sensor Networks

机译:SEND:具有传感器网络的情境感知紧急导航算法

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When emergencies happen, navigation services that guide people to exits while keeping them away from emergencies are critical in saving lives. To achieve timely emergency navigation, early and automatic detection of potential dangers, and quick response with safe paths to exits are the core requirements, both of which rely on continuous environment monitoring and reliable data transmission. Wireless sensor networks (WSNs) are a natural choice of the infrastructure to support emergency navigation services, given their relatively easy deployment and affordable costs, and the ability of ubiquitous sensing and communication. Although many efforts have been made to WSN-assisted emergency navigation, almost all existing works neglect to consider the hazard levels of emergencies and the evacuation capabilities of exits. Without considering such aspects, existing navigation approaches may fail to keep people farther away from emergencies of high hazard levels and would probably encounter congestions at exits with lower evacuation capabilities. In this paper, we propose SEND, a situation-aware emergency navigation algorithm, which takes the hazard levels of emergencies and the evacuation capabilities of exits into account and provides the mobile users the safest navigation paths accordingly. We formally model the situation-aware emergency navigation problem and establish a hazard potential field in the network, which is theoretically free of local minima. By guiding users following the descend gradient of the hazard potential field, SEND can thereby achieve guaranteed success of navigation and provide optimal safety. The effectiveness of SEND is validated by both experiments and extensive simulations in 2D and 3D scenarios.
机译:当紧急情况发生时,引导人们离开紧急情况的导航服务对于挽救生命至关重要。要实现及时的紧急导航,核心要求是核心要求,即及早和自动地检测潜在危险,以及对出口的安全路径做出快速响应,这两个方面都依赖于连续的环境监视和可靠的数据传输。无线传感器网络(WSN)相对容易部署且负担得起的成本以及无处不在的感应和通信能力,是支持紧急导航服务的基础设施的自然选择。尽管已经为WSN辅助的紧急导航做出了许多努力,但是几乎所有现有的工作都没有考虑紧急情况的危险程度和出口的疏散能力。如果不考虑这些方面,现有的导航方法可能无法使人们远离高危险等级的紧急情况,并且可能在疏散能力较低的出口处遇到拥堵。在本文中,我们提出了一种SEND,一种情境感知的紧急导航算法,该算法考虑了紧急情况的危险程度和出口的疏散能力,并为移动用户提供了最安全的导航路径。我们对可感知情况的紧急导航问题进行正式建模,并在网络中建立一个潜在危险场,该场理论上没有局部最小值。通过引导用户遵循潜在危险场的下降坡度,SEND可以确保导航成功并提供最佳安全性。 SEND的有效性通过2D和3D场景中的实验和广泛的仿真进行了验证。

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