Privacy-aware key task scheduling in vehicular networks based on incentive mechanism

Youhua Xia, Libing Wu, Jiong Jin, Tiehua Zhang, Xi Zheng*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

The introduction of a lightweight encryption scheme in the vehicular network has improved the reliability and security of data transmission substantially among vehicles. However, it is still not guaranteed that all vehicles comply with the encryption scheme throughout the whole operation period, considering the inherent selfishness of each participant. Apart from that, the data scheduling issue is another major concern in the vehicular network due to the high-speed mobility of vehicles. To tackle these issues, a multi-objective and multi-dimensional incentive mechanism is developed in this paper to achieve privacy-aware data scheduling for vehicles. This mechanism is designed to encourage vehicles to carry out different tasks by providing relevant incentives while maximizing the overall utility of the network. Additionally, security and privacy of data transmission between vehicles and cloud servers are realized through a data perturbation approach. Experimental evaluation shows that the proposed incentive mechanism is better than the traditional methods when it comes to maximizing the number of participants and completed key tasks.
Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020
Subtitle of host publicationHPCC-SmartCity-DSS 2020
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1030-1035
Number of pages6
ISBN (Print)9781728176499
DOIs
Publication statusPublished - 2020
Event22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems - , Fiji
Duration: 14 Dec 202016 Dec 2020

Publication series

NameProceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020

Conference

Conference22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems
Abbreviated titleHPCC-SmartCity-DSS 2020
CountryFiji
Period14/12/2016/12/20

Keywords

  • Privacy-Awareness
  • Incentive Mechanism
  • Key Task
  • Vehicular Networks

Fingerprint

Dive into the research topics of 'Privacy-aware key task scheduling in vehicular networks based on incentive mechanism'. Together they form a unique fingerprint.

Cite this