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Directed information dissemination in VANET

Directed information dissemination in VANET

Hossain, A.K.M. Mahtab, Mekbungwan, Preechai and Kanchanasut, Kanchana (2011) Directed information dissemination in VANET. In: Proceedings of the 7th Asian Internet Engineering Conference (AINTEC '11). ACM, pp. 30-37. ISBN 978-1-4503-1062-8 (doi:https://doi.org/10.1145/2089016.2089022)

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Abstract

We assume that there exists an inter vehicular network using OLSR where accident information can be propagated to all nodes using on-going OLSR control packets. In order to ensure relevancy of the information, we want to be able to control the direction to which the information should or should not be sent. In this paper, we discuss our scheme to utilize the network layer information together with the relative speeds of the VANET nodes to identify the entities that are behind a particular vehicle or VANET node without the need of GPS. With this information, we will be able to restrict our information dissemination to vehicles behind a particular VANET node only. We propose an algorithm which identifies the Multi-Point-Relay (MPR) of OLSR that are geographically behind a particular vehicle. We analyze our back MPR identification algorithm in a detailed way. We also show that using our approach the location of the sending node could be pinpointed if a subset of the nodes in the same VANET know their geographical positions. We use VANET mobility models generated by SUMO into NS-3 for our experiments. Our analysis and experiments show favorable results.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 7th Asian Internet Engineering Conference (AINTEC '11)
Additional Information: Bangkok, Thailand — November 09 - 11, 2011
Uncontrolled Keywords: MPR; OLSR; VANET; Driver assistance; Traffic information propagation
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 27 Feb 2017 16:32
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/16361

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