On Leveraging the Computational Potential of Fog-Enabled Vehicular Networks
The advent of autonomous vehicles demands powerful processing capabilities of on-board units to handle the dramatic increase of sensor data used to make safe self-driving decisions. Those com- putational resources, being constantly available on the highways, represent valuable assets that can be lev...
Saved in:
| Main Author: | Sorkhoh, Ibrahim (author) |
|---|---|
| Other Authors: | Ebrahimi, Dariush (author), Sharafeddine, Sanaa (author), Assi, Chadi (author) |
| Format: | conferenceObject |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10725/11624 https://doi.org/10.1145/3345838.3356009 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://dl.acm.org/citation.cfm?id=3356009 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Computing with Words
by: Kouatli, Issam
Published: (2015) -
The Non-Technical Issues with Autonomous Vehicles
by: Kouatli, Issam
Published: (2015) -
Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS)
by: Kouatli, Issam
Published: (2014) -
Cooperative clustering models for Vehicular ad hoc networks. (c2013)
by: Abdel Wahab, Omar Mohammad
Published: (2013) -
Semantic Caching for Mobile Ad Hoc Networks
by: Mershad, Khaleel
Published: (2009)