2 research outputs found
A Definition and Framework for Vehicular Knowledge Networking
To operate intelligent vehicular applications such as automated driving,
machine learning, artificial intelligence and other mechanisms are used to
abstract from information what is commonly referred to as knowledge. Defined as
a state of understanding obtained through experience and analysis of collected
information, knowledge is promising for vehicular applications. However, it
lacks a unified framework to be cooperatively created and shared to achieve its
full potential. This paper investigates on the meaning and scope of knowledge
applied to vehicular networks, and suggests a structure for vehicular knowledge
description, storage and sharing. Through the example of passenger
comfort-based rerouting, it exposes the potential benefits for network load and
delay of such knowledge structuring
A Framework to Assess Value of Information in Future Vehicular Networks
Vehicles are becoming increasingly intelligent and connected, incorporating
more and more sensors to support safer and more efficient driving. The large
volume of data generated by such sensors, however, will likely saturate the
capacity of vehicular communication technologies, making it challenging to
guarantee the required quality of service. In this perspective, it is essential
to assess the value of information (VoI) provided by each data source, to
prioritize the transmissions that have the greatest importance for the target
applications. In this paper, we propose and evaluate a framework that uses
analytic hierarchy multicriteria decision processes to predict VoI based on
space, time, and quality attributes. Our results shed light on the impact of
the propagation scenario, the sensor resolution, the type of observation, and
the communication distance on the value assessment performance. In particular,
we show that VoI evolves at different rates as a function of the target
application's characteristics.Comment: 6 pages, 6 figures, 2 tables, accepted for publication to the 2019
1st ACM Workshop on Technologies, mOdels, and Protocols for Cooperative
Connected Cars (TOP-Cars