Computer Science
A Distributed System for Reducing Uploaded Data Redundancy in Vehicular Networks
Document Type
Conference Paper
Abstract
Uploading vehicle sensor data to support autonomous driving is necessary to understand the current situation to make the best decision. In this paper, we develop a system that relies on a peer-to-peer mechanism to obtain information in a vehicular network. Consider a scenario in which each vehicle equipped with a camera and communication capability is responsible to upload new snapshots to a datacenter, and the datacenter combines the snapshots to create a map. In a naïve sensor data upload scheme, each vehicle uploads its snapshot periodically and the datacenter will find out new information and integrate it to a map. This method might work if only a small number of vehicles are uploading at the same time. However, this naïve method is not scalable when dozens of vehicles need to upload, as the communication bandwidth will be a bottleneck. To address the challenge, we propose a novel distributed system to reduce data redundancy. As a result, the bandwidth consumption between vehicles and the datacenter is reduced as well. The key idea is to use location information (e.g., GPS coordinates) to simplify the design and coordination among peers (vehicles), and rely on computer vision algorithms to remove redundant data and identify important information to be uploaded. In this paper, we outline the design of our system and verify the efficacy of our system through a simulation study.
Publication Title
2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
Publication Date
2019
First Page
998
Last Page
1003
ISBN
9781538691519
DOI
10.1109/PERCOMW.2019.8730671
Keywords
bandwidth consumption, data redundancy, distributed system, upload bandwidth
Repository Citation
Wang, Zezhi; Zhao, Yajie; Tseng, Lewis; Higuchi, Takamasa; and Altintas, Onur, "A Distributed System for Reducing Uploaded Data Redundancy in Vehicular Networks" (2019). Computer Science. 140.
https://commons.clarku.edu/faculty_computer_sciences/140
APA Citation
Wang, Z., Zhao, Y., Tseng, L., Higuchi, T., & Altintas, O. (2019, March). A distributed system for reducing uploaded data redundancy in vehicular networks. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 998-1003). IEEE.