Home > Papers

 
 
DMOO:Dynamic Mobility Oriented Task Offloading in Vehicular Edge Computing
Cheng Ziqing, LI Zhiyong *, Wang Qi, Nouioua Mourad
The College of Computer Science and Electronic Engineering of Hunan University, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410000,China.
*Correspondence author
#Submitted by
Subject:
Funding: none
Opened online: 6 May 2020
Accepted by: none
Citation: Cheng Ziqing, LI Zhiyong, Wang Qi.DMOO:Dynamic Mobility Oriented Task Offloading in Vehicular Edge Computing[OL]. [ 6 May 2020] http://en.paper.edu.cn/en_releasepaper/content/4751873
 
 
The rapid development of smart vehicles and their applications constrained by computing resource and time response pose crucial problems in vehicle-to-vehicle (V2V) communications, such as how to provide the required computation capabilities and how to ensure the accomplishment of tasks within a limited time. Mobile edge computing (MEC) has emerged as a new paradigm that can be used to improve vehicular services through computation offloading among smart vehicles. However, new challenges may be encountered in MEC for V2V communication due to the highly dynamic mobility of vehicles. In this paper, we propose a dynamic-mobility-oriented offloading solution(DMOO) for delay-constrained vehicular computation offloading. Specifically, to overcome the problems caused by mobility and limited resources, we design a risk assessment model to estimate the probability for vehicles to be out of range and then develop a discrete artificial bee colony algorithm based on this model to balance the offloading utility and potential risks. Extensive experiment result demonstrate that our solution can significantly enhance the utility and reduce risk compared to other baselines.
Keywords:computer application; vehicular edge computing; task offloading; mobility management
 
 
 

For this paper

  • PDF (0B)
  • ● Revision 0   
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags

Add yours

Related Papers

Statistics

PDF Downloaded 20
Bookmarked 0
Recommend 0
Comments Array
Submit your papers