94 citations · 587 across the 47 of their papers we have counts for
14 papers · 1 filter
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…
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting
Benjamin Sliwa, Nico Piatkowski, Marcus Haferkamp +2
Upcoming Intelligent Transportation Systems (ITSs) will transform roads from static resources to dynamic Cyber Physical Systems (CPSs) in order to satisfy the requirements of futur…
Payload-size and Deadline-aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-load Scenarios
Stefan Monhof, Marcus Haferkamp, Benjamin Sliwa +1
High data rates, low latencies, and a widespread availability are the key properties why current cellular network technologies are used for many different applications. However, th…
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…
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators
Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski +1
Energy-aware system design is an important optimization task for static and mobile Internet of Things (IoT)-based sensor nodes, especially for highly resource-constrained vehicles…
Performance comparison of dynamic vehicle routing methods for minimizing the global dwell time in upcoming smart cities
Tim Vranken, Benjamin Sliwa, Christian Wietfeld +1
Traffic jams in urban scenarios are often caused by bottlenecks related to the street topology and road infrastructure, e.g. traffic lights and merging of lanes. Instead of address…
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…
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…
Radio-based Traffic Flow Detection and Vehicle Classification for Future Smart Cities
Marcus Haferkamp, Manar Al-Askary, Dennis Dorn +4
Intelligent Transportation Systems (ITSs) providing vehicle-related statistical data are one of the key components for future smart cities. In this context, knowledge about the cur…
System-in-the-loop Design Space Exploration for Efficient Communication in Large-scale IoT-based Warehouse Systems
Robert Falkenberg, Jens Drenhaus, Benjamin Sliwa +1
Instead of treating inventory items as static resources, future intelligent warehouses will transcend containers to Cyber Physical Systems (CPS) that actively and autonomously part…
A Radio-fingerprinting-based Vehicle Classification System for Intelligent Traffic Control in Smart Cities
Benjamin Sliwa, Marcus Haferkamp, Manar Al-Askary +2
The measurement and provision of precise and upto-date traffic-related key performance indicators is a key element and crucial factor for intelligent traffic controls systems in up…
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…