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

Xu, Xiaolong and Yao, Liang and Bilal, Muhammad and Wan, Shaohua and Dai, Fei and Choo, Kim Kwang Raymond (2022) Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks. IEEE Internet of Things Journal, 9 (3). pp. 1930-1937. ISSN 2327-4662

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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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Internet of Things Journal
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1711
Subjects:
?? 6g mobile communicationenergy consumptionoptimizationserverssociologystatisticstask analysissignal processinginformation systemshardware and architecturecomputer science applicationscomputer networks and communicationsinformation systems and management ??
ID Code:
205110
Deposited By:
Deposited On:
28 Sep 2023 10:15
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 00:14