Collaborative-Filtering Privacy-Preserving Vehicular Edge Computation Offloading in Green Smart Cities

Jiaxin Fan, Jun Wu*, Shahid Mumtaz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Nowadays, vehicle edge computation supports a novel computing resource provisioning roadmap for green smart cities, which benefits the distributed intelligent applications, such as unmanned vehicle. Despite the fact that vehicle edge computation can better offload computing resource, there are still certain problems in implementing vehicle edge computation in green smart cities. To begin, the geographical imbalance in computing resource results in a time latency when computation offloading. Second, the security of computing resource is an issue that cannot be disregarded. This is because the loss of some sensitive data in computing resource may result in repercussions that cannot be undone. To address aforementioned challenges, we present a collaborative-filtering privacy-preserving vehicular edge computation offloading approach (CVECO). By utilizing collaborative filtering, the CVECO algorithm is able to reduce the latency of the computation offloading. Meanwhile, the CVECO algorithm is able to efficiently provide high security and protect computing resource privacy by applying multiple privacy mechanisms. Finally, the results of the simulation indicate that the CVECO algorithm is capable of lowering the latency associated with the computation offloading while simultaneously preserving a high degree of safety regarding the computing resource. To the best of our knowledge, our proposed approach is capable of performing vehicle edge computation offloading well, which permits a rational use of electricity in green smart cities, further lowering greenhouse gas emissions.

Original languageEnglish
Title of host publicationICC 2023 - IEEE International Conference on Communications
Subtitle of host publicationSustainable Communications for Renaissance
EditorsMichele Zorzi, Meixia Tao, Walid Saad
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2455-2460
Number of pages6
ISBN (Electronic)9781538674628
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy
Duration: 2023 May 282023 Jun 1

Publication series

NameIEEE International Conference on Communications
Volume2023-May
ISSN (Print)1550-3607

Conference

Conference2023 IEEE International Conference on Communications, ICC 2023
Country/TerritoryItaly
CityRome
Period23/5/2823/6/1

Keywords

  • Collaborative Filtering
  • Different Pri-vacy
  • Edge Computation Offloading

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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