A Probabilistic Approach to Deploying Disaster Response Network
A Probabilistic Approach to Deploying Disaster Response Network
复制标题
DOI：
10.1109/tvt.2018.2872542
复制
发表时间：
2018-12-01
影响因子：
6.8
通讯作者：
Liu, Jiajia
中科院分区：
文献类型：
--
作者：
Nishiyama, Hiroki;Rodrigues, Tiago Gama;Liu, Jiajia
在大多数情况下，灾害会导致重要结构崩溃，例如通信和互联网连接。这是令人担忧的，因为受害者需要一种沟通方式，要么联系家人和亲人以获得情感支持，要么联系负责救灾的人员以协调救援和安全措施。由于这些场景的特点是缺乏基础设施，一种有吸引力的解决方案是引入移动通信设备来提供连接，作为救灾的一部分。这是基于可移动和可部署资源单元 (MDRU) 的无线网状网络 (WMN) 的基础，其中 MDRU 是一种通信设备，通常安装在车辆上，部署到灾区以建立具有互联网连接的 WMN（即大部分静态、高度互连的网络）。在这里，MDRU 负责将受害者连接到外部网络。然而，基于MDRU的WMN由不同的层级组成，例如路由器和网关，以及MDRU和用户本身。尽管如此，现有文献将其建模为平面网络。在本文中，我们提出了一种基于MDRU的WMN分层模型，该模型比传统研究更加现实。此外，我们的模型揭示了该网络中路由器数量和性能之间的层间权衡关系，这证明路由器太少或太多都会导致体验质量低下。因此，我们的研究分析了这种权衡并提供了最大化吞吐量的最佳配置。
Disasters, in most cases, cause the breakdown of important structures, such as communication and Internet connection. This is concerning because victims need a way to communicate, either to contact family and loved ones for emotional support or those responsible for disaster relief in order to coordinate rescue and safety measures. Because these scenarios are characterized by a lack of infrastructure, one attractive solution is to bring in mobile communication units to provide connection as part of disaster relief. This is the basis behind moveable and deployable resource unit (MDRU) based wireless mesh networks (WMN), where the MDRU is a communication equipment, usually mounted on a vehicle, that is deployed into a disaster area to establish a WMN (i.e., a mostly static, highly interconnected network) with an Internet connection. Here, the MDRU is the one responsible for connecting victims to exterior networks. However, MDRU basedWMNs are composed of different hierarchical levels, such as routers and gateways, as well as the MDRU and users themselves. Despite this, existing literature model it as a flat network. In this paper, we propose a hierarchicalmodel of theMDRU based WMN, which is more realistic than conventional research. Additionally, our model exposes an interlevel tradeoff relationship between the number of routers and performance in this network, which proves that too little or too many routers both lead to low quality of experience. Our research, thus, analyzes this tradeoff and provides the optimal configuration that maximizes throughput.