Int. J. of Ad Hoc and Ubiquitous Computing   »   2017 Vol.26, No.4

 

 

Title: VPOD: virtual parking overlay network based data delivery in urban VANETs

 

Authors: Jinqi Zhu; Chunmei Ma; Nianbo Liu; Ming Liu; Weijia Feng

 

Addresses:
School of Computer and Information Engineering, Tianjin Normal University, Tianjin 300387, China
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
School of Computer and Information Engineering, Tianjin Normal University, Tianjin 300387, China

 

Abstract: Vehicular ad hoc networks (VANETs) have characteristics of intermittent connectivity, high mobility of vehicle nodes and dynamic topology, which make data delivery in VANETs very challenging. Pervious works that based on history traffic patterns to predict the current traffic conditions on the roads are not accurate. Moreover, deploying roadside units (RSUs) is a possible solution to overcome the challenges, but it often requires a large amount of investment. Motivated by the fact that there are large amounts of outside parked vehicles in urban areas, we propose a virtual parking overlay network based data delivery scheme (VPOD), which does not need any RSUs but leverages a parking overlay network formed by outside parked vehicles to disseminate messages among moving vehicles. Simulation results based on a real city map and realistic traffic situations show that VPOD achieves high performance in data delivery, especially in sparse traffic and multiple requests conditions.

 

Keywords: VANETs; vehicular ad hoc networks; parked vehicle; overlay network; data delivery.

 

DOI: 10.1504/IJAHUC.2015.10001755

 

Int. J. of Ad Hoc and Ubiquitous Computing, 2017 Vol.26, No.4, pp.250 - 262

 

Available online: 28 Oct 2017

 

 

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