Information Fusion for Edge Intelligence: A Survey

Authors

Yin Zhang, University of Electronic Science and Technology of China
Chi Jiang, Zhongnan University of Economics and Law
Binglei Yue, Zhongnan University of Economics and Law
Jiafu Wan, South China University of Technology
Mohsen Guizani, Mohamed Bin Zayed University of Artificial IntelligenceFollow

Document Type

Article

Publication Title

Information Fusion

Abstract

Edge intelligence capability is expected to enable the development of a new paradigm integrated with edge computing and artificial intelligence. However, due to the multisource nature, heterogeneity, and a large scale of the sensory data, it is necessary to improve the data processing and decision-making capacity for the edges. Hence, this paper asserts that information fusion is an important technique to power the capacity of edge intelligence in terms of collection, communication, computing, caching, control and collaboration. Specifically, it provides a comprehensive investigation of four representative scenarios assisted by information fusion at the edge, i.e., multisource information fusion, real-time information fusion, event-driven information fusion, and context-aware information fusion. Moreover, it discusses the future directions and open issues in this field.

First Page

171

Last Page

186

DOI

10.1016/j.inffus.2021.11.018

Publication Date

5-1-2022

Keywords

Context-aware, Event-driven, Information fusion, Multisource, Real-time

Comments

IR deposit conditions:

• OA version (accepted version) - pathway b
• 24 month embargo
• Must link to publisher version with DOI

Recommended Citation

Y. Zhang, C. Jiang, B. Yue, J. Wan, and M. Guizani, “Information fusion for edge intelligence: A survey,”Information Fusion, vol. 81, pp. 171–186, May 2022, doi: 10.1016/J.INFFUS.2021.11.018.