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Collective Intelligence Using 5G: Concepts, Applications, and Challenges in Sociotechnical Environments

Authors :
Arun Narayanan
Mohamed Selim Korium
Dick Carrillo Melgarejo
Hafiz Majid Hussain
Arthur Sousa De Sena
Pedro E. Goria Silva
Daniel Gutierrez-Rojas
Mehar Ullah
Ali Esmaeel Nezhad
Mehdi Rasti
Evangelos Pournaras
Pedro H. J. Nardelli
Source :
IEEE Access, Vol 10, Pp 70394-70417 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

Distributed intelligence is a well-known approach for optimizing interactions among numerous smart devices that interconnect and operate together as Internet of Things (IoT) systems. A modern form of human-machine collective intelligence emerges when humans interact with IoT systems in sociotechnical environments such as smart homes. Fifth-generation (5G) communication networks are designed for high-speed reliable wireless connectivity and expected to boost IoT and (distributed) collective intelligence by revolutionizing human–device–human interactions. In this paper, we contribute a comprehensive review of state-of-the-art sociotechnical environments that exhibit collective intelligence, supported by 5G-enabled IoT. We discuss the latest developments in 5G and their implications for collective intelligence. Further, we explain the key challenges for using 5G to support collective intelligence, e.g., data processing, security, and radio resource management. Finally, we describe four practical applications of collective intelligence to sociotechnical environments—road traffic control, unmanned aerial vehicles, electrical load demand response, and augmented democracy.

Details

Language :
English
ISSN :
21693536
Volume :
10
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.808329284a1044f69b335454673b4c31
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2022.3184035