Home // INNOV 2016, The Fifth International Conference on Communications, Computation, Networks and Technologies // View article

Smart Data Pricing Model for Intelligent Transportation Systems

Authors:
Sadettin Emre Alptekin

Keywords: Internet of Things, dynamic pricing, game theory, mobile cloud computing

Abstract:
Internet of Things is a novel paradigm that foresees Internet-connected devices generating constantly new data using sensors/actuators. The gathered data from various sources facilitates new ways of integration and operations that are essential for developing systems, such as intelligent transportation management. Intelligently managing an infrastructure like traffic systems is expected to contribute to overall safety, economical development and environmental sustainability. However, its success depends on users’ willingness to share with and use data provided by the platform. Therefore, there should be mechanisms to be put in place, which will motivate latent customers/contributors and furthermore manage efficiently the flow of data on possibly stringent network conditions. Smart data pricing, a concept that aims to give users the right economic incentives and manage network congestion in high demand periods, is providing an effective solution for this problem. In this paper, models based on game theory is used to deal with data pricing. The applied model takes into account the level of service quality and the sensitivity of the customers on price levels and quality. The applicability of the proposed methodology is demonstrated via a case study.

Pages: 50 to 55

Copyright: Copyright (c) IARIA, 2016

Publication date: August 21, 2016

Published in: conference

ISSN: 2326-9286

ISBN: 978-1-61208-503-6

Location: Rome, Italy

Dates: from August 21, 2016 to August 25, 2016