NDN-Q: An NDN query mechanism for efficient V2X data collection
Author | Drira, Wassim |
Author | Filali, Fethi |
Available date | 2025-10-20T06:20:03Z |
Publication Date | 2014-12-08 |
Publication Name | 2014 11th Annual IEEE International Conference on Sensing Communication and Networking Workshops Secon Workshops 2014 |
Identifier | http://dx.doi.org/10.1109/SECONW.2014.6979698 |
Citation | W. Drira and F. Filali, "NDN-Q: An NDN query mechanism for efficient V2X data collection," 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking Workshops (SECON Workshops), Singapore, 2014, pp. 13-18, doi: 10.1109/SECONW.2014.6979698. |
Abstract | Collecting data from V2X networks is important to monitor, control and manage road traffic. However, efficient collection of the needed data is quite challenging due to vehicles mobility and the tremendous amount of events and data generated. Named Data Networking (NDN), a future internet architecture, gives more importance to content instead of its location. It has some inner capabilities of caching and multicast that can reduce traffic load in V2X networks and consequently decrease congestion risk. The communication in NDN is based on a request-response pattern where a consumer requests a specific content using its associated name. In this paper, an NDN query mechanism is proposed to use dynamic names to collect dynamic data built on the fly in one or many nodes. Then, it is merged and aggregated hop by hop to provide the response cooperatively to the consumer. Simulation results of data collection shows that the amount of traffic load can be considerably reduced and query response can be collected in only 280ms in a network composed of 60 vehicles. |
Sponsor | This work was made possible by NPRP Grant # 5–1272-1–214 from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
Language | ar |
Publisher | IEEE |
Subject | Vehicles Conferences Data collection Distributed databases Vehicle dynamics Routing Sensors |
Type | Conference |
Pagination | 13-18 |
EISBN | 978-1-4799-5674-6 |
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QMIC Research [307 items ]