物联网的核心本质——数据联网

张琦; 杨浩; TonyQ.S.Quek; 金石; 朱洪波

doi:10.11959/j.issn.2096-3750.2017.00026

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物联网的核心本质——数据联网

特邀与综述 | 更新时间：2024-06-05

- 物联网的核心本质——数据联网
- Kernel of Internet of Things:Internet of Data
- 物联网学报 2017年1卷第3期页码：10-16
- 作者机构：
  
  1. 南京邮电大学，江苏南京 210003
  2. 新加坡科技设计大学，新加坡 487372
  3. 东南大学，江苏南京 210096
- 作者简介：
  
  [ "张琦（1987-），女，南京邮电大学讲师，主要研究方向为大规模 MIMO、超密集异构网络和泛在物联网等。" ]
  [ "杨浩（1989-），男，新加坡科技设计大学博士后，主要研究方向为异构蜂窝网络和大规模MIMO等。" ]
  [ "Tony.Q.S.Quek（1973-），男，新加坡科技设计大学教授，主要研究方向为无线通信优化与统计理论的应用、网络信号处理和资源配置问题等。" ]
  [ "金石（1974-），男，东南大学教授，主要研究方向为 5G 移动通信理论与关键技术、物联网理论与关键技术和机器学习与大数据处理在移动通信中应用等。" ]
  [ "朱洪波（1956-），男，《物联网学报》执行主编；南京邮电大学教授、博士生导师，物联网研究院院长；中国电子学会常务理事、会士、通信分会主任、教育工作委员会副主任，中国通信学会会士、物联网委员会主任、学术工作委员会副主任，教育部科技委信息学部委员，国家重点研发计划“物联网与智慧城市”专项总体组专家，教育部“泛在网络健康服务系统”工程研究中心主任，江苏省“无线通信”重点实验室主任，江苏省物联网技术与应用协同创新中心主任；主要研究方向为泛在无线通信与物联网、宽带移动通信、下一代网络、无线通信与电磁兼容。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61427801);MOEARFTier2基金资助项目;MOE ARF Tier 2(MOE2015-T2-2-104);SUTD-ZJU合作研究基金资助项目;The SUTD-ZJU Research Collaboration(SUTD-ZJU/RES/01/2016);SUTD-ZJU合作研究基金资助项目;The SUTD-ZJU Research Collaboration(SUTD-ZJU/RES/05/2016)
- DOI：10.11959/j.issn.2096-3750.2017.00026
  中图分类号： TN929.53
- 纸质出版日期：2017-12-30，
  
  网络出版日期：2017-12，
- 稿件说明：
移动端阅览
张琦, 杨浩, TonyQ.S.Quek, 等. 物联网的核心本质——数据联网[J]. 物联网学报, 2017,1(3):10-16.

QI ZHANG, HAO YANG, Q.S.QUEK TONY, et al. Kernel of Internet of Things:Internet of Data. [J]. Chinese journal on internet of things, 2017, 1(3): 10-16.
张琦, 杨浩, TonyQ.S.Quek, 等. 物联网的核心本质——数据联网[J]. 物联网学报, 2017,1(3):10-16. DOI： 10.11959/j.issn.2096-3750.2017.00026.

QI ZHANG, HAO YANG, Q.S.QUEK TONY, et al. Kernel of Internet of Things:Internet of Data. [J]. Chinese journal on internet of things, 2017, 1(3): 10-16. DOI： 10.11959/j.issn.2096-3750.2017.00026.

摘要

物联网是各种智能设备、传感器及计算器件以自动控制方式集合起来的网络。在物联网中，大规模的设备将产生大量数据传输至中心系统进行处理，因此，物联网技术的关键在于找到高效的数据处理方法。研究了物联网实现中面临的主要数据难题，包括收集低功率数据、快速传输数据、准确分析数据和及时反馈数据等，并将数据作为实体组成了新的网络—数据联网。数据联网是物联网的核心本质，尤其在数据密集的应用中具有很强的研究价值。详细介绍了数据联网的概念和主要挑战，同时提出了一些可以应用在数据联网中的成熟技术，如大数据、数据挖掘及人工智能等。

Abstract

The Internet of Things (IoT) is a collection of devices

sensors and computing capabilities that enable intelligent command and control across vast regions in an automated manner

where data is generated by large-scaled devices and often sent to a centralized system for processing.Therefore

for IoT scenarios

it is important to have an efficient way to collect data at low power

transmit them in very short time

process them in close to real time

and send back the results of this processing.The main data problems in IoT are investigated

and the data entities are organized to form a network

coined as the Internet of Data (IoD)

which has huge potential in data-intensive applications.To better understand IoD

the basic concept and main challenges of IoD are also stated.Meanwhile

to provide more detailed understanding

some feasible techniques that can be used in IoD are also explored

like big data

data mining and artificial intelligence

which are all hot research areas and have been studied extensively in recent years.

关键词

物联网数据联网数据处理

Keywords

IoTIoDdata processing

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