物联网设备生命周期-蜂窝移动网络的通用模型和用例

G. Soós, Dániel Kozma, F. Janky, P. Varga
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引用次数: 15

摘要

我们已经达到了物联网(IoT)终端设备的地步,必须讨论和实施拆除程序。第一批机器对机器(M2M)设备是那些传感器和执行器,它们已经在互联网上交换了10多年的信息。早期的M2M设备现已达到其使用寿命,我们开始经历有关其最终终止的第一个挑战。与此同时,物联网现象将数据采集、处理和呈现产业化。物联网设备的数量不断增加,其通信能力也逐年扩大。然而,它们的生命周期既没有得到很好的定义,也没有得到很好的管理;这就是为什么废弃的僵尸设备数量不断增加的部分原因。除了关心它们的痛苦结局,生命周期的开始和中期阶段也有需要关注的阶段——包括部署、配置和移动性等问题的管理。本文介绍了一个通用的物联网设备生命周期模型,这是同类模型中的第一个。此外,本文还定义了超短期、短期、中期和长期变化,这取决于给定配置(在空间、环境、硬件或软件设置中)持续多久。对于半静态和动态操作场景,跟踪这些阶段是明智的,以便保持系统的整体状态处于健康状态。为了演示该模型的功能,我们通过实际的蜂窝移动网络示例描述了数据和设备安全的典型设备生命周期场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT Device Lifecycle – A Generic Model and a Use Case for Cellular Mobile Networks
We have reached the point with Internet of Things (IoT) end-devices, when procedures of dismantling have to be discussed and put into practice. The first machine-to-machine (M2M) devices were those sensors and actuators that have been exchanging information over the Internet for over 10 years. The early M2M devices are now reaching their end of life, and we start experiencing the first challenges regarding their final termination. In the meantime, the IoT phenomena industrialized data collection, processing and presentation. The number of IoT devices keeps increasing, and their communication capabilities keep widening from year to year. Still, their lifecycle is neither defined nor managed well; and this is partially the reason why the number of abandoned zombie devices keeps increasing. Besides taking care of their bitter end, the beginning and middle of life phases have stages that needs attention – including the management of their deployment, configuration, and mobility, among other issues. The current paper introduces a generic IoT device lifecycle model, first of its kind. Furthermore, the paper defines ultrashort, short, medium and long term changes, depending on how long the given configuration (in space, in environment, in hardware or software setup) lasts. It is sensible to track these stages for both semi-static and dynamic operating scenarios in order to keep the overall status of the system of systems in a healthy state. In order to demonstrate the capabilities of the model, we describe a typical device lifecycle scenario for data and device security through a real-life, cellular mobile networking example.
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