Trading Accuracy and Resource Usage in Highly Dynamic Vehicular Networks
Fitzgerald, Emma LU
and Landfeldt, Björn
LU
(2013)
International IEEE Conference on Intelligent Transportation Systems
- Abstract
- Vehicular networks bring new ways of viewing road traffic management and safety applications. For the first time, it will be possible for vehicles to exchange information and build fine-grained knowledge about the current situation, estimating risks and adapting their driving. Central to these applications is the need to exchange information in a highly dynamic environment, building a view of the current situa- tion before the conditions change. This is turn requires the distributed algorithms used to converge on low error margins quickly.
In this paper, we investigate the performance of such a distributed algorithm which aims to build a common assessment of the risk level among vehicles to trade off accident risks with road... (More) - Vehicular networks bring new ways of viewing road traffic management and safety applications. For the first time, it will be possible for vehicles to exchange information and build fine-grained knowledge about the current situation, estimating risks and adapting their driving. Central to these applications is the need to exchange information in a highly dynamic environment, building a view of the current situa- tion before the conditions change. This is turn requires the distributed algorithms used to converge on low error margins quickly.
In this paper, we investigate the performance of such a distributed algorithm which aims to build a common assessment of the risk level among vehicles to trade off accident risks with road throughput. In particular, we examine how the convergence rate is affected by network size and node density, and also how the error in the algorithm’s output is affected by the rate at which nodes send out update beacons. We develop a variable-rate beaconing scheme in order to find a trade-off between accuracy of outputs and network resource usage. We then formulate this as a more general optimisation problem applicable to other applications or distributed algorithmic prob- lems in highly dynamic distributed systems such as VANETs. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3956736
- author
- Fitzgerald, Emma
LU
and Landfeldt, Björn
LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Vehicular Networks Safety Resources Wireless
- host publication
- International IEEE Conference on Intelligent Transportation Systems
- editor
- Hegyi, Andreas
- pages
- 7 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- International IEEE Conference on Intelligent Transportation Systems
- conference location
- The Hague, Netherlands
- conference dates
- 2013-10-06
- external identifiers
-
- scopus:84894325733
- project
- ELLIIT LU P01: WP2 Networking solutions
- language
- English
- LU publication?
- yes
- id
- 5dd5dabd-4dc9-42de-bade-7adc81b67145 (old id 3956736)
- date added to LUP
- 2016-04-04 09:57:12
- date last changed
- 2022-01-29 19:32:03
@inproceedings{5dd5dabd-4dc9-42de-bade-7adc81b67145,
abstract = {{Vehicular networks bring new ways of viewing road traffic management and safety applications. For the first time, it will be possible for vehicles to exchange information and build fine-grained knowledge about the current situation, estimating risks and adapting their driving. Central to these applications is the need to exchange information in a highly dynamic environment, building a view of the current situa- tion before the conditions change. This is turn requires the distributed algorithms used to converge on low error margins quickly.<br/><br>
In this paper, we investigate the performance of such a distributed algorithm which aims to build a common assessment of the risk level among vehicles to trade off accident risks with road throughput. In particular, we examine how the convergence rate is affected by network size and node density, and also how the error in the algorithm’s output is affected by the rate at which nodes send out update beacons. We develop a variable-rate beaconing scheme in order to find a trade-off between accuracy of outputs and network resource usage. We then formulate this as a more general optimisation problem applicable to other applications or distributed algorithmic prob- lems in highly dynamic distributed systems such as VANETs.}},
author = {{Fitzgerald, Emma and Landfeldt, Björn}},
booktitle = {{International IEEE Conference on Intelligent Transportation Systems}},
editor = {{Hegyi, Andreas}},
keywords = {{Vehicular Networks Safety Resources Wireless}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Trading Accuracy and Resource Usage in Highly Dynamic Vehicular Networks}},
url = {{https://lup.lub.lu.se/search/files/5424951/3956737.pdf}},
year = {{2013}},
}