Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications
Vehicular wireless communications require both congestion control to guarantee the availability of a fraction of the bandwidth for safety-related event-driven messages in emergency cases, and awareness control to adapt the beaconing activity to the application needs and surrounding traffic situation...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8880565/ |
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author | Juan Aznar-Poveda Esteban Egea-Lopez Antonio-Javier Garcia-Sanchez Pablo Pavon-Marino |
author_facet | Juan Aznar-Poveda Esteban Egea-Lopez Antonio-Javier Garcia-Sanchez Pablo Pavon-Marino |
author_sort | Juan Aznar-Poveda |
collection | DOAJ |
description | Vehicular wireless communications require both congestion control to guarantee the availability of a fraction of the bandwidth for safety-related event-driven messages in emergency cases, and awareness control to adapt the beaconing activity to the application needs and surrounding traffic situation. Most current approaches either ignore the traffic situation and only adapt the beaconing rate to the channel congestion state or override the congestion control limits, leading to questionable results in both cases. In this paper, we conceive and validate a novel approach, combining both aspects. Based on distributed Network Utility Maximization (NUM), our algorithm satisfies the constraints on channel availability, whereas the safety of the surrounding traffic situation is captured with a time-to-collision metric, used to assign priorities in the optimal allocation problem. The performance of the proposed approach is validated and compared to other popular algorithms. Results show that our proposal automatically anticipates a potential increase in rate due to a critical safety situation, but does not interfere with the reserved bandwidth for safety applications. |
first_indexed | 2024-12-22T19:27:31Z |
format | Article |
id | doaj.art-cd06c748b9d04a708e68a707369aa2b9 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-22T19:27:31Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-cd06c748b9d04a708e68a707369aa2b92022-12-21T18:15:12ZengIEEEIEEE Access2169-35362019-01-01715419215420810.1109/ACCESS.2019.29491318880565Time-to-Collision-Based Awareness and Congestion Control for Vehicular CommunicationsJuan Aznar-Poveda0https://orcid.org/0000-0002-0879-6651Esteban Egea-Lopez1https://orcid.org/0000-0002-6926-4923Antonio-Javier Garcia-Sanchez2https://orcid.org/0000-0001-5095-3035Pablo Pavon-Marino3Department of Information and Communications Technologies, Universidad Politécnica de Cartagena, Cartagena, SpainDepartment of Information and Communications Technologies, Universidad Politécnica de Cartagena, Cartagena, SpainDepartment of Information and Communications Technologies, Universidad Politécnica de Cartagena, Cartagena, SpainDepartment of Information and Communications Technologies, Universidad Politécnica de Cartagena, Cartagena, SpainVehicular wireless communications require both congestion control to guarantee the availability of a fraction of the bandwidth for safety-related event-driven messages in emergency cases, and awareness control to adapt the beaconing activity to the application needs and surrounding traffic situation. Most current approaches either ignore the traffic situation and only adapt the beaconing rate to the channel congestion state or override the congestion control limits, leading to questionable results in both cases. In this paper, we conceive and validate a novel approach, combining both aspects. Based on distributed Network Utility Maximization (NUM), our algorithm satisfies the constraints on channel availability, whereas the safety of the surrounding traffic situation is captured with a time-to-collision metric, used to assign priorities in the optimal allocation problem. The performance of the proposed approach is validated and compared to other popular algorithms. Results show that our proposal automatically anticipates a potential increase in rate due to a critical safety situation, but does not interfere with the reserved bandwidth for safety applications.https://ieeexplore.ieee.org/document/8880565/Awareness controlbeaconing rate controlcongestion controltime-to-collisionvehicular communications |
spellingShingle | Juan Aznar-Poveda Esteban Egea-Lopez Antonio-Javier Garcia-Sanchez Pablo Pavon-Marino Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications IEEE Access Awareness control beaconing rate control congestion control time-to-collision vehicular communications |
title | Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications |
title_full | Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications |
title_fullStr | Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications |
title_full_unstemmed | Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications |
title_short | Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications |
title_sort | time to collision based awareness and congestion control for vehicular communications |
topic | Awareness control beaconing rate control congestion control time-to-collision vehicular communications |
url | https://ieeexplore.ieee.org/document/8880565/ |
work_keys_str_mv | AT juanaznarpoveda timetocollisionbasedawarenessandcongestioncontrolforvehicularcommunications AT estebanegealopez timetocollisionbasedawarenessandcongestioncontrolforvehicularcommunications AT antoniojaviergarciasanchez timetocollisionbasedawarenessandcongestioncontrolforvehicularcommunications AT pablopavonmarino timetocollisionbasedawarenessandcongestioncontrolforvehicularcommunications |