PROJECT TITLE :

Non-Intrusive Planning the Roadside Infrastructure for Vehicular Networks

ABSTRACT:

In this article, we have a tendency to describe a strategy for planning the roadside infrastructure for vehicular networks primarily based on the global behavior of drivers. Rather than looking forward to the trajectories of all vehicles, our proposal relies on the migration ratios of vehicles between urban regions so as to infer the higher locations for deploying the roadside units. By relying on the global behavior of drivers, our strategy does not incur in privacy considerations. Given a group of α offered roadside units, our goal is to pick those α-better locations for inserting the roadside units in order to maximize the number of distinct vehicles experiencing a minimum of one V2I contact opportunity. Our results demonstrate that full knowledge of the vehicle trajectories are not mandatory for achieving a close-to-optimal deployment performance once we intend to maximize the quantity of distinct vehicles experiencing (at least one) V2I contact opportunities.


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