In this work we propose Delta-r, a new greedy heuristic for solving the allocation of roadside
units in order to meet a Δ ρ2 ρ1-Deployment. The Δ ρ2 ρ1-Deployment is a metric for …

Over the past few decades, the growth of the urban population has been remarkable.
Nowadays, 50% of the population lives in urban areas, and forecasts point that by 2050 this …

Sharing up-to-date environment information collected by intelligent connected vehicles is
critical in achieving travel comfort, convenience, and safety in vehicular networks …

In this work we propose a new algorithm, Delta-r-GRASP, for solving the allocation of
Roadside Units (RSUs) in a Vehicular Network. Our goal is to find the minimum set of RSUs …

In this work, we propose a GRASP+ VNS algorithm for solving the allocation of Roadside
Units (RSUs) in a Vehicular Network. Our main objective is to find the minimum set of RSUs …

In this work the allocation of Roadside Units (RSUs) in a V2I network is modeled as a
Maximum Coverage Problem. The main objective is to maximize the number of distinct …

The use of roadside units (RSUs) in vehicular networks can increase the efficiency of the
network by providing hot spots for data dissemination between vehicles and an …

Gamma Deployment is a metric for evaluating the distribution of roadside units in vehicular
networks in terms of two parameters: a) the inter-contact time between vehicles and the …

In this paper, we study the Roadside Unit (RSU) placement problem in vehicular networks.
We focus on the highway-like scenario in which there may be multiple lanes with exits or …

In vehicular networks, deploying a vehicular infrastructure named roadside units (RSU) is a
key solution to improve performance of message dissemination in vehicular ad hoc networks …