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Edge Computing for Real-Time Internet of Things Applications: Future Internet Revolution

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Abstract

The Internet of Things (IoT) is a concept that permits the integration of all objects into an Internet environment. IoT has spawned numerous intelligent applications and services to benefit organizations, society, and consumer experiences. On the other hand, traditional computing methods are incapable of handling the demands of these services. The advent of cloud computing methods that provides software, platform, and infrastructure such as services have realized these applications. However, one of the critical obstacles of real-time cloud-based IoT applications is service response time. Edge computing solutions have been developed to address these issues. In this work, we provide a comprehensive survey of driving enforce edge computing for IoT applications on aspects of the research timeline, applications, vision, challenges, and open research issues. Through this, we highlight the benefits of edge computing over cloud computing in almost domains. This study will contribute to driving empowerment intelligence to the edge of networks to form the next intelligent edge era.

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Acknowledgements

The authors thank sincerely Prof. Isaac Woungang and Prof. Abdellah Chehri for their valuable contributions and comments on this research.

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

  1. Hung Yen University of Technology and Education, Hung Yen, 160000, Vietnam

    Nguyen Minh Quy, Nguyen Van Hau & Vu Khanh Quy

  2. Swinburne Vietnam, FPT University, Hanoi, 100000, Vietnam

    Le Anh Ngoc

  3. Posts and Telecommunications Institute of Technology, Hanoi, 100000, Vietnam

    Nguyen Tien Ban

Authors
  1. Nguyen Minh Quy
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  2. Le Anh Ngoc
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  4. Nguyen Van Hau
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Contributions

N.M. Quy and V.KQ have performed the study conception and deployment. Data collection and analysis were performed by NMQ, LAN, NTB, NVH and VKQ. The first draft of the manuscript was written by NMQ and VKQ. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. The author corresponding is VKQ.

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Correspondence to Vu Khanh Quy.

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Appendix

Appendix

Acronyms used in this paper

Acronym

Meaning

Acronym

Meaning

AR

Augmented reality

EG

Edge computing

AI

Artificial intelligence

M2M

Mechanism to mechanism

AODV

Ad-hoc on-demand distance vector

MANET

Mobile ad hoc networks

API

Application programming interface

MCC

Multi-cloud computing

D2D

Device to device

MEC

Mobile edge computing

DDoS

Distributed denial of service

PHM

Prognostics and health management

DoS

Denial of service

QoS

Quality of service

IIoT

Industrial Internet of Things

RSU

Road side unit

CC

Cloud computing

SaaS

Software as a service

GIS

Geographic information systems

SDN

Software-defined networking

GPRS

General packet radio service

FC

Fog computing

GPS

Global positioning system

UAV

Unmanned aerial vehicle

IaaS

Infrastructure as a service

V2I

Vehicle to infrastructure

IoT

Internet of Things

V2V

Vehicle to vehicle

IoVs

Internet of vehicles

VANET

Vehicular ad hoc networks

EC

Edge computing

  

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Quy, N.M., Ngoc, L.A., Ban, N.T. et al. Edge Computing for Real-Time Internet of Things Applications: Future Internet Revolution. Wireless Pers Commun 132, 1423–1452 (2023). https://doi.org/10.1007/s11277-023-10669-w

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