Vehicular users are emerging as a prime market for targeted advertisement, where advertisements (ads) are sent from network points of access to vehicles, and displayed to passengers only if they are relevant to them. In this study, we take the viewpoint of a broker managing the advertisement system, and getting paid every time a relevant ad is displayed to an interested user. The broker selects the ads to broadcast at each point of access so as to maximize its revenue. In this context, we observe that choosing the ads that best fit the users' interest could actually hurt the broker's revenue. In light of this conflict, we present Volfied, an algorithm allowing for conflict-free, near-optimal ad selection with very low computational complexity. Our performance evaluation, carried out through real-world vehicular traces, shows that Volfied increases the broker revenue by up to 70 percent with provably low computational complexity, compared to state-of-the-art alternatives. Index Terms-Vehicular ad hoc networks, mobile advertising Ç G. Einziger and F. Malandrino are with the
In REF , the authors addressed the issue of sending targeted advertisements in VANETs from the broker's point of view.
Scheduling Advertisement Delivery in Vehicular Networks
IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing
Computer Science