QoS and Fairness Oriented Dynamic Computation Offloading in the Internet of Vehicles Based on Estimate Time of Arrival

The rapid development of Internet of Vehicles (IoV) and Mobile Edge Computing (MEC) enables vehicles to offload their applications to Roadside Units (RSU). However, without knowledge of vehicles' future locations, wireless connections between vehicles and RSUs are too vulnerable to finish offloading processes. Most existing methods allocate computation tasks statically, ignoring latency between task reception and processing in real IoV environments. Moreover, multiple services running on RSUs limit the availability of resources for offloading which require an efficient allocation of limited available resources. Therefore, this article addresses the vehicular computation offloading problem by predicting vehicle mobility. The authors first introduce the Estimated Time of Arrival service into the vehicular MEC architecture to predict vehicles' driving state. Second, the authors formulate vehicular computation offloading as a dynamic process that efficiently selects the offloading location for each computation task and satisfies the constraints of limited available resources to balance QoS and response fairness. Third, the cooperation among RSUs in the authors' work optimizes the task QoS, but it increases the search space causing a high time consumption. The authors use the Dynamic Programming algorithm to optimize QoS and response fairness in the cooperative computation offloading problem and propose two offloading algorithms. To obtain the performance of the authors' algorithms close to real IoV environments, the authors propose a fine-grained simulation method based on Veins. The authors evaluate the authors' and existing algorithms based on real datasets from Erlangen, Germany, and Shenzhen, China.

• Record URL:
  • https://doi.org/10.1109/TVT.2024.3364669
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2024, IEEE.
• Authors:
  • Ling, Chen
  • Zhang, Weizhe
  • 0000-0003-4783-876X
  • He, Hui
  • Yadav, Rahul
  • Wang, Jiayin
  • Wang, Desheng
• Publication Date: 2024-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 10554-10571
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 73
  • Issue Number: 7
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Arrivals and departures; Mobile computing; Quality of service; Vehicular ad hoc networks
• Geographic Terms: Erlangen (Germany); Shenzhen (China)
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01930154
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 13 2024 10:33AM