Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/99679
Title: Parking backbone : toward efficient overlay routing in VANETs
Authors: Zhu, Jinqi
Liu, Ming
Wen, Yonggang
Ma, Chunmei
Liu, Bin
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Source: Zhu, J., Liu, M., Wen, Y., Ma, C., & Liu, B. (2014). Parking backbone : toward efficient overlay routing in VANETs. International journal of distributed sensor networks, 20141-13.
Series/Report no.: International journal of distributed sensor networks
Abstract: In vehicular ad hoc networks (VANETs), message dissemination to one or more vehicles is very challenging, due to frequent network disconnections and uncertain locations of the destination vehicles. Deploying roadside units (RSUs) is a possible solution to overcome the challenges, but it often requires a large amount of investment. In this paper, we propose the idea of Parking Backbone, which does not need any RSUs but leverages a virtual overlay network formed by outside parked vehicles to track vehicles and to disseminate messages between moving vehicles. Our scheme consists of three parts. At first, to each road, parked vehicles both at roadside and off street are grouped into a cluster as far as possible. An urban overlay network is established based on this type of clusters for data transmission. Secondly, to a specific vehicle, a daily mobility model is established, to determine its location through a corresponding location prediction algorithm. Finally, a novel message delivery scheme is designed to efficiently transmit messages to destination vehicles through the proposed virtual overlay network. Thanks to the extensive and stable outside parking in cities, once grouped into the overlay structure, data transmission can be easily achieved over the Parking Backbone. Extensive simulation results prove that our scheme achieves high performance in message dissemination.
URI: https://hdl.handle.net/10356/99679
http://hdl.handle.net/10220/24062
DOI: http://dx.doi.org/10.1155/2014/291308
Rights: © 2014 Jinqi Zhu et al.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
metadata.item.grantfulltext: open
metadata.item.fulltext: With Fulltext
Appears in Collections:SCSE Journal Articles

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