AIoT: a taxonomy, review and future directions

Jiyi WU; Wenjuan LI; Jian CAO; Shiyou QIAN; Qifei ZHANG; Rajkumar BUYYA

doi:10.11959/j.issn.1000-0801.2021204

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AIoT: a taxonomy, review and future directions

Comprehensive Review | 更新时间：2024-06-05

- AIoT: a taxonomy, review and future directions
- Telecommunications Science Vol. 37, Issue 8, Pages: 1-17(2021)
- 作者机构：
  
  1. 浙江省人工智能学会，浙江杭州310027
  2. 杭州师范大学钱江学院，浙江杭州 310036
  3. 上海交通大学计算机科学与工程系，上海200240
  4. 浙江大学软件学院，浙江宁波 315048
  5. 墨尔本大学云计算与分布式系统CLOUDS实验室，澳大利亚墨尔本 VIC3010
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021204
  CLC： TP393
- Published Online：2021-08，
  
  Published：20 August 2021
- 稿件说明：
移动端阅览
Jiyi WU, Wenjuan LI, Jian CAO, et al. AIoT: a taxonomy, review and future directions[J]. Telecommunications science, 2021, 37(8): 1-17.
DOI：

Jiyi WU, Wenjuan LI, Jian CAO, et al. AIoT: a taxonomy, review and future directions[J]. Telecommunications science, 2021, 37(8): 1-17. DOI： 10.11959/j.issn.1000-0801.2021204.

摘要

智能物联网（artificial intelligence of things，AIoT）是人工智能与物联网技术相融合的产物，这一新兴概念在智慧城市、智能家居、智慧制造、无人驾驶等领域得到了广泛应用。然而AIoT相关技术研究仍处于初级阶段

存在大量问题和挑战。首先简述了AIoT技术产生的背景，明晰其定义和应用场景。以此为契机，构建了一个新型的面向智能信息处理的云边端融合AIoT架构。在给出AIoT研究体系的基础上

详细探讨并比较了其各组成技术模块，包括AI融合IoT数据采集、复杂事件处理及协同、云边端融合研究、AI融合IoT安全及隐私保护和AI融合应用服务等方面的研究现状和解决方案。最后

论述了AIoT未来的研究方向和发展趋势。

Abstract

AIoT (artificial intelligence of things) is an integrated product of artificial intelligence (AI) and internet of things (IoT).Currently

it has been widely used in smart cities

smart homes

smart manufacturing

and driverless.However

the research of AIoT is still in its infancy

facing with many problems and challenges.In order to clarify the concept and provide possible solutions

a comprehensive survey was carried out on AIoT.Firstly

a clear definition of AIoT was provided

along with the brief introduction on its background and application scenarios.And then a novel cloud-edge-end hybrid AIoT architecture for intelligent information processing was constructed.Based on the research framework of AIoT

the research status and solutions were discussed

including AI integrated IoT data acquisition

complex event processing and coordination

cloud-edge-end integration

AI-enhanced IoT security and privacy

and AI-based applications

etc.Finally

it identified the open challenges and offers future research directions.

关键词

Keywords

references

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