A mobility analytics framework for Internet of Things

Mukesh Taneja
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引用次数: 4

Abstract

In a mobile IoT system, IoT devices are located in a moving vehicle such as in a car, in a mobile robot or in an Unmanned Aerial Vehicle (UAV). An IoT Gateway aggregates data from various IoT devices located in a moving vehicle and its surroundings. This GW could also be located in the vehicle itself. We consider infrastructure as well as ad-hoc mode scenarios here. In infrastructure mode, this mobile IoT GW can communicate with multiple analytics servers to run distributed analytics applications. In ad-hoc mode scenarios, internet connectivity is not assured and analytics applications may need to be run on one or more Gateway nodes. In both these modes, IoT analytics server gets variety of parameters providing contextual, mobility, performance and other type of information from IoT GW nodes and end-devices. In this paper, we first enhance an existing mobility analytics framework to do mobility analytics of mobile IoT GW nodes (along with IoT end-devices). We also analyze different types of analytics applications in this framework. This framework allows an IoT operator or end-user to take variety of decisions in a unified way in infrastructure mode of operation. We also present our initial work for ad-hoc mode of operation where one or more IoT Gateway nodes are involved in carrying out analytics related processing.
物联网移动分析框架
在移动物联网系统中,物联网设备位于汽车、移动机器人或无人机(UAV)等移动车辆中。物联网网关聚合位于移动车辆及其周围的各种物联网设备的数据。这种GW也可以安装在车辆本身。我们在这里考虑基础设施和临时模式场景。在基础设施模式下,该移动物联网GW可以与多个分析服务器通信,以运行分布式分析应用程序。在ad-hoc模式场景中,不能保证互联网连接,分析应用程序可能需要在一个或多个Gateway节点上运行。在这两种模式下,物联网分析服务器从物联网GW节点和终端设备获得各种参数,提供上下文,移动性,性能和其他类型的信息。在本文中,我们首先增强了现有的移动性分析框架,以对移动物联网GW节点(以及物联网终端设备)进行移动性分析。我们还在这个框架中分析了不同类型的分析应用程序。该框架允许物联网运营商或最终用户在基础设施运营模式下以统一的方式做出各种决策。我们还介绍了我们针对ad-hoc操作模式的初步工作,其中一个或多个物联网网关节点参与执行分析相关处理。
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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