hagenauer2017vehicular
Florian Hagenauer, Christoph Sommer, Takamasa Higuchi, Onur Altintas and Falko Dressler, "Vehicular Micro Clouds as Virtual Edge Servers for Efficient Data Collection," 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. 31–35.
Abstract
Automakers have already started rolling out cars with communication capabilities. They become more than simple means of transportation - their mobility combined with networking lets them interconnect people and machines. Looking at the network part, the most important aspect is to make the underlying network scaleable. Mobile edge computing has been introduced in 4G networks to achieve such scalability using caches and processing capabilities at eNodeBs, i.e., at the edge of the network. We introduce the concept of vehicular micro clouds as virtual edge servers. Micro clouds are conceptually clusters of cars, which help aggregating collected data that is transferred to some backend. In contrast to previous work on dynamic clustering in vehicular networks, we investigate the construction of such micro clouds using a map based approach.
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Contact
- Florian Hagenauer
- Christoph Sommer
- Takamasa Higuchi
- Onur Altintas
- Falko Dressler
BibTeX reference
@inproceedings{hagenauer2017vehicular,
author = {Hagenauer, Florian and Sommer, Christoph and Higuchi, Takamasa and Altintas, Onur and Dressler, Falko},
title = {{Vehicular Micro Clouds as Virtual Edge Servers for Efficient Data Collection}},
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 = {10.1145/3131944.3133937},
month = {October},
pages = {31--35},
publisher = {ACM},
year = {2017},
}
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