Mobility Prediction-Based Joint Task Assignment and Resource Allocation in Vehicular Fog Computing

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

13 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2020 IEEE Wireless Communications and Networking Conference (WCNC) 2020
Subtitle of host publicationProceedings
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Number of pages6
ISBN (electronic)9781728131061
ISBN (print)978-1-7281-3107-8
Publication statusPublished - 2020
Externally publishedYes

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511
ISSN (electronic)1558-2612

Conference

Title2020 IEEE Wireless Communications and Networking Conference (WCNC 2020)
LocationVirtual
PlaceKorea, Republic of
CitySeoul
Period25 - 28 May 2020

Abstract

Most recently, vehicular fog computing (VFC) has been regarded as a novel and promising architecture to effectively reduce the computation time of various vehicular application tasks in Internet of vehicles (IoV). However, the high mobility of vehicles makes the topology of vehicular networks change fast, and thus it is a big challenge to coordinate vehicles for VFC in such a highly mobile scenario. In this paper, we investigate the joint task assignment and resource allocation optimization problem by taking the mobility effect into consideration in vehicular fog computing. Specifically, we formulate the joint optimization problem from a Min-Max perspective in order to reduce the overall task latency. Then we decompose the nonconvex problem into two sub-problems, i.e., one to one matching and bandwidth resource allocation, respectively. In addition, considering the relatively stable moving patterns of a vehicle in a short period, we further introduce the mobility prediction to design a mobility prediction-based scheme to obtain a better solution. Simulation results verify the efficiency of our proposed mobility prediction-based scheme in reducing the overall task completion latency in VFC. © 2020 IEEE

Research Area(s)

  • mobility prediction, resource allocation, task assignment, VFC

Bibliographic Note

Publisher Copyright: © 2020 IEEE.

Citation Format(s)

Mobility Prediction-Based Joint Task Assignment and Resource Allocation in Vehicular Fog Computing. / Wu, Xianjing; Zhao, Shengjie; Zhang, Rongqing et al.
2020 IEEE Wireless Communications and Networking Conference (WCNC) 2020: Proceedings. Institute of Electrical and Electronics Engineers, Inc., 2020. 9120524 (IEEE Wireless Communications and Networking Conference, WCNC).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review