hagenauer2017parked
Florian Hagenauer, Christoph Sommer, Takamasa Higuchi, Onur Altintas and Falko Dressler, "Parked Cars as Virtual Network Infrastructure: Enabling Stable V2I Access for Long-Lasting Data Flows," Proceedings of 23rd ACM International Conference on Mobile Computing and Networking (MobiCom 2017), 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services (CarSys 2017), Snowbird, UT, October 2017, pp. 57–64.
Abstract
Vehicular networks are envisioned to cover various use cases from safety related applications to infotainment. While there exist standardized solutions for exchanging single messages in a geographical area, coping with longer lasting ows of messages is more difficult. Developed solutions may require high node densities for fast delivery or even require pre-installed infrastructure (e.g., road side units). In this paper, we present a concept where we exploit parked cars to form a virtual network infrastructure. In particular, we form clusters representing a virtual road side unit spanning a relatively large geographical area. To reduce the channel load, we select a subset of the parked cars as active gateways to the cluster. This is done in a way to ensure that the connectivity to the cluster is not impaired. We evaluate the proposed algorithm using the Car4ICT architecture, a concept that enables cars in smart cities to discover and use various kinds of services.
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Contact
- Florian Hagenauer
- Christoph Sommer
- Takamasa Higuchi
- Onur Altintas
- Falko Dressler
BibTeX reference
@inproceedings{hagenauer2017parked,
author = {Hagenauer, Florian and Sommer, Christoph and Higuchi, Takamasa and Altintas, Onur and Dressler, Falko},
title = {{Parked Cars as Virtual Network Infrastructure: Enabling Stable V2I Access for Long-Lasting Data Flows}},
booktitle = {23rd ACM International Conference on Mobile Computing and Networking (MobiCom 2017), 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services (CarSys 2017)},
address = {Snowbird, UT},
doi = {10.1145/3131944.3131952},
month = {October},
pages = {57--64},
publisher = {ACM},
year = {2017},
}
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