IMDEA Networks
Cooperative Offloading in Context-Aware Networks: A Game-Theoretic Approach
Tobias Meuser, Multimedia Communications Lab (KOM), Technische Universität Darmstadt, Germany
External Presentation (External Speaker)
Vehicles exchange Floating Car Data (FCD) to improve awareness beyond their local perception and thereby increase traffic safety and comfort.
If the FCD is required at distant locations, FCD can be shared using the cellular network to notify vehicles early of upcoming road events. However, this monitoring of the roads congests the cellular network, which is already utilized by other applications. The available bandwidth for monitoring is expected to decrease further with the introduction of fully autonomous vehicles.
In this paper, we propose a hybrid dissemination approach for the distribution of road events in vehicular networks. Our approach aims to utilize only a predefined bandwidth for information exchange, which is achieved by two mechanisms: (i) the offloading of information to Wifi-based Vehicle to Vehicle (V2V) communication and (ii) the filtering of low-impact information. We offload the information to Wifi-based communication using non-cooperative game-theory: Each vehicle chooses the minimum impact of information it wants to receive via the cellular network. Through cooperation, the vehicles in proximity might provide information the other vehicles cannot receive. In the evaluation, we show that our approach significantly improves the data quality at the vehicles compared to traditional offloading approaches while sticking to the predefined bandwidth constraints.
About Tobias Meuser
Tobi studied business informatics at University of Hagen and Computer Science at TU Darmstadt. In 2016, Tobi obtained his Master’s degree with the thesis “Data Collection Management: A Dynamic Approach for Map Information Harvesting”. Since the end of 2016, he is working as a research assistant in the research group “Distributed Sensing Systems” at Multimedia Communications Lab (KOM). His research interest is centered around assessing the quality and relevance of Floating Car Data in vehicular networks. Based on these metrics, the communication efficiency in vehicular networks can be improved to provide additional connectivity features to vehicles.
This event will be conducted in English