An Efficient Caching and Offloading Resource Allocation Strategy in Vehicular Social Networks

Limited edge server resources and uneven distribution of traffic density in vehicular networks result in problems such as unbalanced network load and high task processing latency. To address these issues, the authors proposed an efficient caching and offloading resource allocation (ECORA) strategy in vehicular social networks. First, to improve the utilization of vehicular idle resources, a collaborative computation and storage resource allocation mechanism was designed using mobile social similarity. Next, with the optimization objective of minimizing the average task processing delay, the authors studied the combined resource allocation optimization problem and decoupled it into two sub-problems. For the service caching subproblem, the authors designed a stable matching algorithm by mobile social connections to dynamically update the cache resource allocation scheme for improving the task unloading efficiency. For the task offloading subproblem, a discrete cuckoo search algorithm based on differential evolution was designed to adaptively select the best task offloading scheme, which minimized the average task processing delay. Simulation results revealed that the ECORA strategy outperformed the resource allocation strategy based on particle swarm optimization and genetic algorithm, and reduced the average task processing delay by at least 7.59%. Meanwhile, the ECORA strategy can achieve superior network load balancing.

• Record URL:
  • https://doi.org/10.1109/TVT.2023.3332905
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2024, IEEE.
• Authors:
  • Zhang, Yuexia
  • Zhou, Ying
  • Zhang, Siyu
  • Gui, Guan
  • Adebisi, Bamidele
  • Gacanin, Haris
  • Sari, d Hikmet
• Publication Date: 2024-4

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 5690-5703
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 73
  • Issue Number: 4
  • 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: Delays; Mobile computing; Motor vehicles; Networks; Resource allocation; Task analysis
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01925605
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 26 2024 10:09AM