33 citations · 128 across the 10 of their papers we have counts for
10 papers
Exploiting Map Topology Knowledge for Context-predictive Multi-interface Car-to-cloud Communication
Benjamin Sliwa, Johannes Pillmann, Maximilian Klaß +1
While the automotive industry is currently facing a contest among different communication technologies and paradigms about predominance in the connected vehicles sector, the divers…
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg +2
While cars were only considered as means of personal transportation for a long time, they are currently transcending to mobile sensor nodes that gather highly up-to-date informatio…
The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces
Johannes Pillmann, Benjamin Sliwa, Christian Wietfeld
In the past years, connectivity has been introduced in automotive production series, enabling vehicles as highly mobile Internet of Things sensors and participants. The Horizon 202…
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg +2
Upcoming Intelligent Traffic Control Systems (ITSCs) will base their optimization processes on crowdsensing data obtained for cars that are used as mobile sensor nodes. In conclusi…
Novel Common Vehicle Information Model (CVIM) for Future Automotive Vehicle Big Data Marketplaces
Johannes Pillmann, Christian Wietfeld, Adrian Zarcula +2
Even though connectivity services have been introduced in many of the most recent car models, access to vehicle data is currently limited due to its proprietary nature. The Europea…
Empirical evaluation of predictive channel-aware transmission for resource efficient car-to-cloud communication
Johannes Pillmann, Benjamin Sliwa, Christian Kastin +1
Nowadays vehicles are by default equipped with communication hardware. This enables new possibilities of connected services, like vehicles serving as highly mobile sensor platforms…
Car-to-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model
Johannes Pillmann, Benjamin Sliwa, Jens Schmutzler +2
Although connectivity services have been introduced already today in many of the most recent car models, the potential of vehicles serving as highly mobile sensor platform in the I…
Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg +2
Upcoming 5G-based communication networks will be confronted with huge increases in the amount of transmitted sensor data related to massive deployments of static and mobile Interne…
Lightweight Joint Simulation of Vehicular Mobility and Communication with LIMoSim
Benjamin Sliwa, Johannes Pillmann, Fabian Eckermann +3
The provision of reliable and efficient communication is a key requirement for the deployment of autonomous cars as well as for future Intelligent Transportation Systems (ITSs) in…
LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++
Benjamin Sliwa, Johannes Pillmann, Fabian Eckermann +1
Reliable and efficient communication is one of the key requirements for the deployment of self-driving cars. Consequently, researchers and developers require efficient and precise…