University of Oulu

Yuhong Li, Xiaoyu Hao, Han Zheng, Xiang Su, Jukka Riekki, Chao Sun, Hanyu Wei, Hao Wang, and Lei Han. 2017. A two-level hidden Markov model for characterizing data traffic from vehicles. In Proceedings of the Seventh International Conference on the Internet of Things (IoT '17). ACM, New York, NY, USA, Article 5, 8 pages. DOI: https://doi.org/10.1145/3131542.3131556

A two-level hidden Markov model for characterizing data traffic from vehicles

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Author: Li, Yuhong1; Hao, Xiaoyu1; Zheng, Han1;
Organizations: 1State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
2Centre for Ubiquitous Computing, University of Oulu, Oulu, Finland
3Network Technology Laboratory, Huawei Technologies Co., Ltd., Nanjing, China
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019082024787
Language: English
Published: Association for Computing Machinery, 2017
Publish Date: 2019-08-20
Description:

Abstract

With the popularization of intelligent transport and mobile internet services, vehicles and people on board generate increasing amounts of data. To match future networks with this use case, tools are needed to analyze the requirements set for the network. In this paper, we study the characteristics of data traffic in the context of networked vehicles. We generate data traffic based on real-world vehicle traces and reported data patterns of end-user applications and vehicles. Based on this, we propose a two-level hidden Markov model to describe both large and small temporal characteristics of data traffic from vehicles aggregated on base stations. We evaluate the proposed model by comparing the original and synthesized data. The results show that the proposed model can well characterize the data traffic from vehicles.

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ISBN: 978-1-4503-5318-2
Pages: 1 - 8
Article number: 5
DOI: 10.1145/3131542.3131556
OADOI: https://oadoi.org/10.1145/3131542.3131556
Host publication: Proceedings of the Seventh International Conference on the Internet of Things (IoT'17), Ocotber 22-25, 2017, Linz, Austria
Conference: International Conference on the Internet of Things
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: The work is partly supported by Huawei HIRP program.
Copyright information: © 2017 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the Seventh International Conference on the Internet of Things (IoT '17), https://doi.org/10.1145/3131542.3131556.