IoT architectures: from data to smart systems

Marco Aiello
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引用次数: 1

Abstract

“The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it.” It was 1991 when Mark Weiser’s pioneering article was published in the Scientific American, discussing a future where networked devices would be so ubiquitous that “no one will notice their presence” (Weiser (1991)). To a large extent, this is our reality today. We may have changed terminology and moved from ubiquitous computing to Internet of Things, but the substance has not changed. We are surrounded by data-capturing computing devices that are always on, are networked, and many of which can perform world-altering operations. Just think of hopping into a modern car. The driver is actually interacting with a distributed computing system on wheels. With up to 100 electronic control units and hundred of millions of lines of code, the modern automotive industry has become more about software than mechanics and aerodynamics. And yet, we think and interact with our car as we would have done in 1991. Or think at our symbiotic relationship with social media as experienced via our personal data capturing device: the smartphone. It is symbiotic because it satisfies the human need for emotional connectedness while it feeds content to the social media infrastructure, content that is essential for its existence and that is typically metabolized as targeted advertisement. The modern human being has feelings relatable to gymnophobia whenever leaving home without the smart phone, a fear of a sensation of nakedness, incompleteness that transcends the rational. And dually we accept any other human being we are close to or even interacting with to be concurrently doing something on their smart phone. The phone is such an integral and accepted part of who we are and how we behave that we can agree that Mark Weiser’s prediction was correct: phones are our everyday life and we do not even notice anymore. In many countries the level of penetration of mobile phones is above 80%, including population of any age (Statista (2022)). The number of active phone subscriptions is higher than 7 billion. If we consider Bluetooth, a technology often used for dynamic connectivity at the edge of the system, 4 billion Bluetooth Low Energy network interfaces are currently been shipped per year (Bluetooth SIG (2021)). Number projected to surpass 6 billions by 2025. And more generally, the predictions indicate that by 2030 the total amount of IoT devices worldwide, of any type, will reach the value of 24 billion (Transforma Insights (2020)). The unprecedented advancements in realizing IoT devices at affordable prices and the pervasive connectivity of wireless and wired Internet technologies, are essential building blocks to achieve the vision of a smart, OPEN ACCESS
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物联网架构:从数据到智能系统
“最深刻的技术是那些消失的技术。他们把自己编织到日常生活的结构中,直到与日常生活无法区分。”1991年,Mark Weiser在《科学美国人》上发表了一篇开创性的文章,讨论了未来网络设备将无处不在,以至于“没有人会注意到它们的存在”(Weiser(1991))。在很大程度上,这就是我们今天的现实。我们可能改变了术语,从普适计算转向了物联网,但本质并没有改变。我们被数据捕捉计算设备所包围,这些设备总是开着的,是联网的,其中许多可以执行改变世界的操作。想想跳上一辆现代汽车吧。司机实际上是在与车轮上的分布式计算系统进行交互。拥有多达100个电子控制单元和数亿行代码,现代汽车工业已经更多地与软件有关,而不是机械和空气动力学。然而,我们和1991年的汽车一样思考和互动。或者想想我们与社交媒体的共生关系,就像我们通过个人数据采集设备——智能手机所经历的那样。它是共生的,因为它满足了人类对情感联系的需求,同时为社交媒体基础设施提供了内容,这些内容对其存在至关重要,通常被代谢为目标广告。现代人在不带智能手机出门的时候,会有一种与体操恐惧症相关的感觉,一种对裸体感的恐惧,一种超越理性的不完整感。另一方面,我们接受任何与我们亲近甚至互动的人同时在他们的智能手机上做一些事情。手机是我们的身份和行为中不可或缺的一部分,我们可以接受马克·韦瑟的预测是正确的:手机是我们的日常生活,我们甚至都没有注意到。在许多国家,手机的普及率超过80%,包括任何年龄的人口(Statista(2022))。活跃的手机用户数量超过70亿。如果我们考虑蓝牙,一种经常用于系统边缘动态连接的技术,目前每年出货40亿个低功耗蓝牙网络接口(蓝牙SIG(2021))。预计到2025年,这一数字将超过60亿。更普遍的是,预测表明,到2030年,全球任何类型的物联网设备的总量将达到240亿美元(Transforma Insights(2020))。以可承受的价格实现物联网设备的前所未有的进步,以及无线和有线互联网技术的普遍连接,是实现智能开放接入愿景的重要基石
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