关于使电子产品代码和非ID对象接受IP识别的综述
A survey on subjecting electronic product code and non-ID objects to IP identification
AI总结：
本文综述使电子产品代码和非ID对象接受IP识别的IoT寻址方法，并从计算开销、可扩展性、适应性、成本和ID兼容性五方面进行比较。
摘要：
在过去十年中，物联网（IoT）研究和现实世界中的IoT应用均呈指数级增长。IoT为我们带来了更智能的城市、智能家居以及总体上更舒适的生活。然而，这些设备的引入也带来了若干必须应对的新挑战。与IoT设备交互所面临的关键挑战之一，是对全球数十亿台设备（事物）进行寻址，包括计算机、平板电脑、智能手机、可穿戴设备、传感器和嵌入式计算机等。本文针对使电子产品代码（Electronic Product Code）和非ID对象接受IoT设备IP识别进行了综述，包括这些方法的优缺点。文中提出并使用不同指标来评估这些方法。具体而言，主要方法从以下方面接受评估：（i）计算开销，（ii）可扩展性，（iii）适应性，（iv）实现成本，以及（v）是否适用于已经基于ID的对象，并以表格形式呈现。最后，本文证明该研究领域仍将持续发展，但任何新技术都必须在上述五个评估参数上表现良好。
英文摘要：
Over the last decade, both research on the Internet of Things (IoT) and real-world IoT applications have grown exponentially. The IoT provides us with smarter cities, intelligent homes, and generally more comfortable lives. However, the introduction of these devices has led to several new challenges that must be addressed. One of the critical challenges facing interacting with IoT devices is to address billions of devices (things) around the world, including computers, tablets, smartphones, wearable devices, sensors, and embedded computers, and so on. This article provides a survey on subjecting Electronic Product Code and non-ID objects to IP identification for IoT devices, including their advantages and disadvantages thereof. Different metrics are here proposed and used for evaluating these methods. In particular, the main methods are evaluated in terms of their: (i) computational overhead, (ii) scalability, (iii) adaptability, (iv) implementation cost, and (v) whether applicable to already ID-based objects and presented in tabular format. Finally, the article proves that this field of research will still be ongoing, but any new technique must favorably offer the mentioned five evaluative parameters.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
