物联网资源搜索:需求与展望

Yulei Wu, Haojun Huang, Cheng-Xiang Wang, Yi Pan, Yasmin Fathy
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引用次数: 2

摘要

随着网络传感器技术的普及,从物理环境中收集数据以及与执行器和传感器节点等设备的(自动化)交互是一个日益增长的趋势。从物理世界中收集的动态数据量呈指数级增长,从中提取有意义的信息已成为一项具有挑战性的任务。物联网(IoT)是一个总称,指的是将物理(智能)对象集成到数字世界(即互联网)中。物联网利用5G网络功能,使更多的设备和对象能够连接到网络,并以低延迟和高响应时间相互通信。此外,物联网资源的规模、分布、动态性和异构性给数据处理和分析带来了一系列挑战。现有的Web信息检索和访问方法已不适合处理海量数据,提供高效、可扩展的物联网实用动态应用和解决方案。本章讨论了设计和开发有效的物联网解决方案的要求和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching for Internet-of-Things Resources: Requirements and Outlook
With the prevalence of networked sensor technologies, collecting data from the physical environment and (automated) interactions with devices ranging from actuator and sensor nodes is a growing trend. The volumes of dynamic data that are collected from the physical world are increasing exponentially and extracting meaningful information from them has become a challenging task. The Internet of Things (IoT) is an umbrella term that refers to integrating the physical (smart) objects into the digital world (i.e. Internet). IoT leverages the exploitation of the 5G network capabilities to enable more devices and objects to connect to the network and communicate with each other with low latency and high response time. Moreover, the scale, distribution, dynamicity and heterogeneity nature of IoT resources raise a set of challenges in data processing and analytics. The current information retrieval and access methods for the Web are not applicable for dealing with the data deluge to provide efficient and scalable practical IoT dynamic applications and solutions. This chapter discusses the requirements and challenges of designing and developing effective IoT solutions.
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