Title: Towards connectivity-aware deployment and adjustment for roadside units

Authors: Jiafeng Hu; Beihong Jin; Fusang Zhang; Zhaoyang Wang; Yuwei Yang

Addresses: Institute of Software, University of Chinese Academy of Sciences, Beijing 100190, China ' Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China; Institute of Software, Chinese Academy of Sciences, Beijing 100190, China ' Institute of Software, University of Chinese Academy of Sciences, Beijing 100190, China ' Institute of Software, University of Chinese Academy of Sciences, Beijing 100190, China ' Institute of Software, University of Chinese Academy of Sciences, Beijing 100190, China

Abstract: Deploying roadside units (RSUs) is expected to improve the ratios of data delivery and reduce the delay of information dissemination over vehicular ad hoc networks (VANETs). However, as for RSU deployment in urban scenarios, no appropriate theoretic model has been built as a guide so far. Meanwhile, the solution space for practical RSU deployment seems huge. Therefore, it is still a challenge to propose an ideal RSU layout. Considering that some applications may lead to a large amount of interaction between vehicles and points of interest (POIs), this paper presents an RSU deployment and adjustment approach Volans so as to improve the performance of such interaction. Following Volans, the connectivity status of a VANET is first estimated by analysing the historical trajectories of vehicles, and then the locations of a specified number of RSUs are calculated on the basis of the connectivity status. Moreover, the result layout of RSUs can be adjusted with the changes of POIs or trajectory data. Experimental results show that Volans is feasible and flexible and also demonstrate the performance improvement on data delivery brought by RSU deployment.

Keywords: vehicular ad hoc networks; VANETs; roadside units; RSUs; RSU deployment; adjustment; connectivity awareness; urban scenarios; cities; data delivery.

DOI: 10.1504/IJAACS.2016.075390

International Journal of Autonomous and Adaptive Communications Systems, 2016 Vol.9 No.1/2, pp.119 - 135

Received: 11 Sep 2013
Accepted: 11 Oct 2013
Published online: 19 Mar 2016 *

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