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Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks. / Xu, Xiaolong; Yao, Liang; Bilal, Muhammad et al.
In: IEEE Internet of Things Journal, Vol. 9, No. 3, 01.02.2022, p. 1930-1937.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Xu, X, Yao, L, Bilal, M, Wan, S, Dai, F & Choo, KKR 2022, 'Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks', IEEE Internet of Things Journal, vol. 9, no. 3, pp. 1930-1937. https://doi.org/10.1109/JIOT.2021.3089204

APA

Xu, X., Yao, L., Bilal, M., Wan, S., Dai, F., & Choo, K. K. R. (2022). Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks. IEEE Internet of Things Journal, 9(3), 1930-1937. https://doi.org/10.1109/JIOT.2021.3089204

Vancouver

Xu X, Yao L, Bilal M, Wan S, Dai F, Choo KKR. Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks. IEEE Internet of Things Journal. 2022 Feb 1;9(3):1930-1937. doi: 10.1109/JIOT.2021.3089204

Author

Xu, Xiaolong ; Yao, Liang ; Bilal, Muhammad et al. / Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks. In: IEEE Internet of Things Journal. 2022 ; Vol. 9, No. 3. pp. 1930-1937.

Bibtex

@article{31f468a0f96f454f88bb6c2d8cfac25c,
title = "Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks",
abstract = "The Internet of Vehicles (IoV) environment consists of a number of latency-critical and data-intensive application (e.g., real-time video analytics). In this article, we posit the potential of leveraging the sixth-generation (6G) mobile networks to minimize communication delay, particularly for latency-critical task execution. In particular, the 6G-enabled network in boxes (NIBs) deployed in the vehicles can communicate in real time with the edge servers or the NIBs in other vehicles. Although NIBs are capable of providing dynamic and flexible computing resources to support real-time IoV services, there are significant energy costs associated with the communication and computing activities. Seeking to achieve an optimal balance between energy consumption and time cost during service migration, we design a NIB task migration (NTM) method for IoV in this article. In our approach, the IoV framework is designed and the routing mechanism is established. The strength Pareto evolutionary algorithm (SPEA2) is then utilized to determine the migration strategy. Findings from our experiments demonstrate the reliability and efficiency of our proposed approach.",
keywords = "6G mobile communication, Energy consumption, Optimization, Servers, Sociology, Statistics, Task analysis",
author = "Xiaolong Xu and Liang Yao and Muhammad Bilal and Shaohua Wan and Fei Dai and Choo, {Kim Kwang Raymond}",
year = "2022",
month = feb,
day = "1",
doi = "10.1109/JIOT.2021.3089204",
language = "English",
volume = "9",
pages = "1930--1937",
journal = "IEEE Internet of Things Journal",
issn = "2327-4662",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "3",

}

RIS

TY - JOUR

T1 - Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks

AU - Xu, Xiaolong

AU - Yao, Liang

AU - Bilal, Muhammad

AU - Wan, Shaohua

AU - Dai, Fei

AU - Choo, Kim Kwang Raymond

PY - 2022/2/1

Y1 - 2022/2/1

N2 - The Internet of Vehicles (IoV) environment consists of a number of latency-critical and data-intensive application (e.g., real-time video analytics). In this article, we posit the potential of leveraging the sixth-generation (6G) mobile networks to minimize communication delay, particularly for latency-critical task execution. In particular, the 6G-enabled network in boxes (NIBs) deployed in the vehicles can communicate in real time with the edge servers or the NIBs in other vehicles. Although NIBs are capable of providing dynamic and flexible computing resources to support real-time IoV services, there are significant energy costs associated with the communication and computing activities. Seeking to achieve an optimal balance between energy consumption and time cost during service migration, we design a NIB task migration (NTM) method for IoV in this article. In our approach, the IoV framework is designed and the routing mechanism is established. The strength Pareto evolutionary algorithm (SPEA2) is then utilized to determine the migration strategy. Findings from our experiments demonstrate the reliability and efficiency of our proposed approach.

AB - The Internet of Vehicles (IoV) environment consists of a number of latency-critical and data-intensive application (e.g., real-time video analytics). In this article, we posit the potential of leveraging the sixth-generation (6G) mobile networks to minimize communication delay, particularly for latency-critical task execution. In particular, the 6G-enabled network in boxes (NIBs) deployed in the vehicles can communicate in real time with the edge servers or the NIBs in other vehicles. Although NIBs are capable of providing dynamic and flexible computing resources to support real-time IoV services, there are significant energy costs associated with the communication and computing activities. Seeking to achieve an optimal balance between energy consumption and time cost during service migration, we design a NIB task migration (NTM) method for IoV in this article. In our approach, the IoV framework is designed and the routing mechanism is established. The strength Pareto evolutionary algorithm (SPEA2) is then utilized to determine the migration strategy. Findings from our experiments demonstrate the reliability and efficiency of our proposed approach.

KW - 6G mobile communication

KW - Energy consumption

KW - Optimization

KW - Servers

KW - Sociology

KW - Statistics

KW - Task analysis

U2 - 10.1109/JIOT.2021.3089204

DO - 10.1109/JIOT.2021.3089204

M3 - Journal article

AN - SCOPUS:85112178434

VL - 9

SP - 1930

EP - 1937

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

SN - 2327-4662

IS - 3

ER -