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Published in: Peer-to-Peer Networking and Applications 2/2021

28-10-2020

AC-RDV: a novel ant colony system for roadside units deployment in vehicular ad hoc networks

Authors: Abderrahim Guerna, Salim Bitam, Carlos T. Calafate

Published in: Peer-to-Peer Networking and Applications | Issue 2/2021

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Abstract

Vehicular ad hoc network (VANET) is a mobile and wireless network that consists of connected vehicles, and stationary nodes called roadside units (RSUs) placed on the aboard of roads to improve traffic safety and to ensure drivers’ and passengers’ comfort. However, deploying RSUs is one of the most important challenges in VANETs due to the involved placement, configuration, and maintenance costs in addition to the network connectivity. This study focuses on the issue of deploying a set of RSUs that is able to maximize network coverage with a reduced cost. In this paper, we propose a new formulation of RSUs deployment issue as a maximum intersection coverage problem through a graph-based modeling. Moreover, we propose a new bio-inspired RSU placement system called Ant colony optimization system for RSU deployment in VANET (AC-RDV). AC-RDV is based on the idea of placing RSUs within the more popular road intersections, which are close to popular places like touristic and commercial areas. Since RSU deployment problem is considered as NP-Hard, AC-RDV inspires by the foraging behavior of real ant colonies to discover the minimum number of RSU intersections that ensures the maximum network connectivity. After a set of simulations and comparisons against traditional RSU placement strategies, the results obtained showed the effectiveness of the proposed AC-RDV in terms of number of RSUs placed, the average area coverage, the average connectivity and the overlapping ratio.

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Metadata
Title
AC-RDV: a novel ant colony system for roadside units deployment in vehicular ad hoc networks
Authors
Abderrahim Guerna
Salim Bitam
Carlos T. Calafate
Publication date
28-10-2020
Publisher
Springer US
Published in
Peer-to-Peer Networking and Applications / Issue 2/2021
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-020-01011-3

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