Data Gathering Framework Based on Fog Computing Paradigm in VANETs

Vehicular nodes are equipped with more and more sensing units, and large amount of sensing data are generated. This makes the data gathering and monitoring is a challenging problem in VANETs. In this paper we first present an sensing and data gathering framework through the concept of fog computing in VANETs, then we propose an event-based data gathering scheme based on this framework that adaptively adjusts the threshold to upload suitable amount of data for decision making, while at the same time suppress unnecessary message transmissions. Preliminary experiments demonstrate the effectiveness of the proposed algorithm in vehicular sensing applications.