Abstract
Nowadays, for improving the increasingly crowded traffic conditions, internet of vehicles (IoV) emerges. In IoV, the increase of smart vehicle applications produces computation-intensive tasks for vehicles. However, it is tough for vehicles to meet the demands required by tasks thoroughly due to the limited computing capacity deployed in vehicles. To address this challenge, the vehicle-to-everything (V2X) communication is a promising technology to support edge computing transmitting tasks across vehicles. By employing vehicle-to-infrastructure communication (V2I) and vehicle-to-vehicle communication (V2V), the origin vehicle seeks the feasible routes of offloading the computing tasks to the edge node (EN). In this paper, a computation offloading method which employs V2X technology for data transmission in edge computing, named V2X-COM, is proposed. Technically, the routing of the computing tasks is determined first. Then, non-dominated sorting genetic algorithm III (NSGA-III) is adopted to generate balanced offloading strategies. Furthermore, simple additive weighting (SAW) and multiple criteria decision making (MCDM) are employed to seek out the optimal offloading strategy. Finally, experimental evaluations are conducted to prove the validity of V2X-COM.
Highlights
In recent years, a rapid increase occurs to the number of vehicles, the incidence rate of traffic accidents urban areas rises rapidly
PERFORMANCE EVALUATION OF V2X-COM The V2X-COM we proposed has the goal to achieve the balance in minimizing the latency and improving the resource utilization
WORK In recent years, the computing tasks in internet of vehicles (IoV) have been too complex to execute for vehicles
Summary
This work was supported in part by the National Science Foundation of China under Grant 61702277, Grant 61672276, and Grant 61702264, in part by the Key Research and Development Project of Jiangsu Province under Grant BE2015154 and Grant BE2016120, in part by the Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology (NUIST), in part by the Open Project from State Key Laboratory for Novel Software Technology, Nanjing University, under Grant KFKT2017B04, in part by the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions Fund, in part by the Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), and in part by the College Students’ Enterprise and Entreprenuership Education Program (CSEEEP) of NUIST.
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