Modeling and minimizing latency in three-tier V2X networks

Phi Le Nguyen, Ren Hung Hwang, Pham Minh Khiem, Kien Nguyen, Ying Dar Lin

研究成果: Conference contribution同行評審

11 引文 斯高帕斯(Scopus)

摘要

Leveraging mobile cloud computing (MCC) and mobile edge computing (MEC) for offloading computational tasks is a promising approach to enabling delay-sensitive applications executing vehicles. Despite MCC and MEC's ability and complementary characteristics, most of the existing works on offloading focus on only either MCC or MEC. In this paper, we study their cooperation in a three-tier offloading model of a V2X network where a vehicle can offload computational tasks to cloud computing and MEC. Specifically, we investigate the optimal offloading probabilities of three offloading paths, including Vehicle-to- Infrastructure, Vehicle-to-Cloud, and Infrastructure-to-Cloud. Our contribution is twofold. First, we derive a mathematical model of task execution latency and a formulation to find an optimal solution for the minimum latency problem. Second, we propose an approximation algorithm based on the genetic algorithm toward the optimum. The experiment results show that by exploiting both MCC and MEC's complementary advantages, our proposed algorithm in the three-tier model can shorten the delay significantly compared to existing two-tier models. Depending on the traffic load and the number of Road Side Units, our proposal can reduce the delay by 93.75% on the average, and 99.9% in the best case.

原文English
主出版物標題2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728182988
DOIs
出版狀態Published - 12月 2020
事件2020 IEEE Global Communications Conference, GLOBECOM 2020 - Virtual, Taipei, Taiwan
持續時間: 7 12月 202011 12月 2020

出版系列

名字2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
2020-January

Conference

Conference2020 IEEE Global Communications Conference, GLOBECOM 2020
國家/地區Taiwan
城市Virtual, Taipei
期間7/12/2011/12/20

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