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Benjamin Sliwa
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- affiliation: TU Dortmund, Germany
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2020 – today
- 2022
- [c46]Melina Geis, Benjamin Sliwa, Caner Bektas, Christian Wietfeld:
TinyDRaGon: Lightweight Radio Channel Estimation for 6G Pervasive Intelligence. FNWF 2022: 658-663 - [c45]Hendrik Schippers, Cedrik Schüler, Benjamin Sliwa, Christian Wietfeld:
System Modeling and Performance Evaluation of Predictive QoS for Future Tele-Operated Driving. SysCon 2022: 1-8 - [c44]Benjamin Sliwa, Melina Geis, Caner Bektas, Melisa López, Preben Mogensen, Christian Wietfeld:
DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning. WCNC 2022: 2459-2464 - [p4]Marcus Haferkamp, Benjamin Sliwa, Christian Wietfeld:
Privacy-Preserving Detection of Persons and Classification of Vehicle Flows. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 241-260 - [p3]Cedrik Krieger, Benjamin Sliwa, Christian Wietfeld:
Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 272-284 - [p2]Benjamin Sliwa:
Resource-Efficient Vehicle-to-Cloud Communications. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 331-341 - [p1]Robert Falkenberg, Karsten Heimann, Benjamin Sliwa:
Mobile-Data Network Analytics Highly Reliable Networks. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 342-353 - [i45]Hendrik Schippers, Cedrik Schüler, Benjamin Sliwa, Christian Wietfeld:
System Modeling and Performance Evaluation of Predictive QoS for Future Tele-Operated Driving. CoRR abs/2201.11432 (2022) - 2021
- [b1]Benjamin Sliwa:
Resource-Efficient Vehicle-to-Cloud Communications Leveraging Machine Learning. Technical University of Dortmund, Germany, Shaker 2021, ISBN 978-3-8440-8356-9, pp. 1-285 - [j4]Benjamin Sliwa, Rick Adam, Christian Wietfeld:
Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Networks. IEEE Trans. Veh. Technol. 70(6): 5332-5346 (2021) - [c43]Benjamin Sliwa, Hendrik Schippers, Christian Wietfeld:
Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications. 5GWF 2021: 299-304 - [c42]Karsten Heimann, Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
Modeling and Simulation of Reconfigurable Intelligent Surfaces for Hybrid Aerial and Ground-based Vehicular Communications. MSWiM 2021: 67-74 - [c41]Marcus Haferkamp, Benjamin Sliwa, Christian Wietfeld:
A Low Cost Modular Radio Tomography System for Bicycle and Vehicle Detection and Classification. SysCon 2021: 1-7 - [c40]Manuel Patchou, Benjamin Sliwa, Christian Wietfeld:
Flying Robots for Safe and Efficient Parcel Delivery Within the COVID-19 Pandemic. SysCon 2021: 1-7 - [c39]Caner Bektas, Stefan Böcker, Benjamin Sliwa, Christian Wietfeld:
Rapid Network Planning of Temporary Private 5G Networks with Unsupervised Machine Learning. VTC Fall 2021: 1-6 - [c38]Cedrik Schüler, Benjamin Sliwa, Christian Wietfeld:
Towards Machine Learning-Enabled Context Adaption for Reliable Aerial Mesh Routing. VTC Fall 2021: 1-7 - [c37]Benjamin Sliwa, Cedrik Schüler, Manuel Patchou, Christian Wietfeld:
PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge. VTC Spring 2021: 1-7 - [c36]Cedrik Schüler, Manuel Patchou, Benjamin Sliwa, Christian Wietfeld:
Robust machine learning-enabled routing for highly mobile vehicular networks with PARRoT in ns-3. WNS3 2021: 88-94 - [i44]Manuel Patchou, Benjamin Sliwa, Christian Wietfeld:
Flying Robots for Safe and Efficient Parcel Delivery Within the COVID-19 Pandemic. CoRR abs/2101.07877 (2021) - [i43]Benjamin Sliwa, Rick Adam, Christian Wietfeld:
Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Network. CoRR abs/2102.08624 (2021) - [i42]Cedrik Schüler, Benjamin Sliwa, Christian Wietfeld:
Towards Machine Learning-Enabled Context Adaption for Reliable Aerial Mesh Routing. CoRR abs/2107.06190 (2021) - [i41]Karsten Heimann, Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
Modeling and Simulation of Reconfigurable Intelligent Surfaces for Hybrid Aerial and Ground-based Vehicular Communications. CoRR abs/2108.12825 (2021) - [i40]Benjamin Sliwa, Hendrik Schippers, Christian Wietfeld:
Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications. CoRR abs/2109.04117 (2021) - [i39]Benjamin Sliwa, Melina Geis, Caner Bektas, Melisa López, Preben E. Mogensen, Christian Wietfeld:
DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning. CoRR abs/2112.07941 (2021) - 2020
- [j3]Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
The Channel as a Traffic Sensor: Vehicle Detection and Classification Based on Radio Fingerprinting. IEEE Internet Things J. 7(8): 7392-7406 (2020) - [j2]Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld:
Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction. IEEE Trans. Intell. Transp. Syst. 21(8): 3497-3512 (2020) - [c35]Benjamin Sliwa, Robert Falkenberg, Christian Wietfeld:
Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks. 6G SUMMIT 2020: 1-5 - [c34]Lea Schönberger, Georg von der Brüggen, Kuan-Hsun Chen, Benjamin Sliwa, Hazem Youssef, Aswin Karthik Ramachandran Venkatapathy, Christian Wietfeld, Michael ten Hompel, Jian-Jia Chen:
Offloading Safety- and Mission-Critical Tasks via Unreliable Connections. ECRTS 2020: 18:1-18:22 - [c33]Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation. GLOBECOM 2020: 1-6 - [c32]Jakob Thrane, Benjamin Sliwa, Christian Wietfeld, Henrik Lehrmann Christiansen:
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. GLOBECOM 2020: 1-6 - [c31]Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. ICC 2020: 1-7 - [c30]Benjamin Sliwa, Rick Adam, Christian Wietfeld:
Acting selfish for the good of all: contextual bandits for resource-efficient transmission of vehicular sensor data. MobiHoc 2020: 345-350 - [c29]Karsten Heimann, Adrian Marsch, Benjamin Sliwa, Christian Wietfeld:
Reflecting Surfaces for Beyond Line-Of-Sight Coverage in Millimeter Wave Vehicular Networks. VNC 2020: 1-4 - [c28]Benjamin Sliwa, Christian Wietfeld:
A Reinforcement Learning Approach for Efficient Opportunistic Vehicle-to-Cloud Data Transfer. WCNC 2020: 1-8 - [c27]Benjamin Sliwa, Manuel Patchou, Karsten Heimann, Christian Wietfeld:
Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim. WNS3 2020: 1-8 - [i38]Benjamin Sliwa, Christian Wietfeld:
A Reinforcement Learning Approach for Efficient Opportunistic Vehicle-to-Cloud Data Transfer. CoRR abs/2001.05321 (2020) - [i37]Benjamin Sliwa, Robert Falkenberg, Christian Wietfeld:
Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks. CoRR abs/2001.09452 (2020) - [i36]Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. CoRR abs/2001.10189 (2020) - [i35]Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
The Channel as a Traffic Sensor: Vehicle Detection and Classification based on Radio Fingerprinting. CoRR abs/2003.09827 (2020) - [i34]Benjamin Sliwa, Manuel Patchou, Karsten Heimann, Christian Wietfeld:
Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim. CoRR abs/2003.09829 (2020) - [i33]Samad Ali, Walid Saad, Nandana Rajatheva, Kapseok Chang, Daniel Steinbach, Benjamin Sliwa, Christian Wietfeld, Kai Mei, Hamid Shiri, Hans-Jürgen Zepernick, Thi My Chinh Chu, Ijaz Ahmad, Jyrki Huusko, Jaakko Suutala, Shubhangi Bhadauria, Vimal Bhatia, Rangeet Mitra, SaiDhiraj Amuru, Robert Abbas, Baohua Shao, Michele Capobianco, Guanghui Yu, Maëlick Claes, Teemu Karvonen, Mingzhe Chen, Maksym Girnyk, Hassan Malik:
6G White Paper on Machine Learning in Wireless Communication Networks. CoRR abs/2004.13875 (2020) - [i32]Benjamin Sliwa, Rick Adam, Christian Wietfeld:
Acting Selfish for the Good of All: Contextual Bandits for Resource-Efficient Transmission of Vehicular Sensor Data. CoRR abs/2007.09921 (2020) - [i31]Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation. CoRR abs/2008.07096 (2020) - [i30]Jakob Thrane, Benjamin Sliwa, Christian Wietfeld, Henrik Lehrmann Christiansen:
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. CoRR abs/2008.07747 (2020) - [i29]Benjamin Sliwa, Cedrik Schüler, Manuel Patchou, Christian Wietfeld:
PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge. CoRR abs/2012.05490 (2020)
2010 – 2019
- 2019
- [j1]Benjamin Sliwa, Christian Wietfeld:
Data-Driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems. IEEE Access 7: 172638-172653 (2019) - [c26]Benjamin Sliwa, Thomas Liebig, Tim Vranken, Michael Schreckenberg, Christian Wietfeld:
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. SysCon 2019: 1-8 - [c25]Manuel Patchou, Benjamin Sliwa, Christian Wietfeld:
Unmanned Aerial Vehicles in Logistics: Efficiency Gains and Communication Performance of Hybrid Combinations of Ground and Aerial Vehicles. VNC 2019: 1-8 - [c24]Benjamin Sliwa, Stefan Falten, Christian Wietfeld:
Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-Based Mobile Ad-Hoc Networks. VTC Spring 2019: 1-7 - [c23]Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
Lightweight Simulation of Hybrid Aerial- and Ground-Based Vehicular Communication Networks. VTC Fall 2019: 1-7 - [c22]Benjamin Sliwa, Christian Wietfeld:
Empirical Analysis of Client-Based Network Quality Prediction in Vehicular Multi-MNO Networks. VTC Fall 2019: 1-7 - [c21]Benjamin Sliwa, Christian Wietfeld:
Towards Data-Driven Simulation of End-to-End Network Performance Indicators. VTC Fall 2019: 1-7 - [i28]Benjamin Sliwa, Stefan Falten, Christian Wietfeld:
Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-based Mobile Ad-hoc Networks. CoRR abs/1901.02298 (2019) - [i27]Benjamin Sliwa, Thomas Liebig, Tim Vranken, Michael Schreckenberg, Christian Wietfeld:
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. CoRR abs/1901.03025 (2019) - [i26]Benjamin Sliwa, Christian Wietfeld:
Empirical Analysis of Client-based Network Quality Prediction in Vehicular Multi-MNO Networks. CoRR abs/1904.10177 (2019) - [i25]Benjamin Sliwa, Christian Wietfeld:
Towards Data-driven Simulation of End-to-end Network Performance Indicators. CoRR abs/1904.10179 (2019) - [i24]Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld:
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction. CoRR abs/1904.10186 (2019) - [i23]Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
Lightweight Simulation of Hybrid Aerial- and Ground-based Vehicular Communication Networks. CoRR abs/1906.08993 (2019) - [i22]Manuel Patchou, Benjamin Sliwa, Christian Wietfeld:
Unmanned Aerial Vehicles in Logistics: Efficiency Gains and Communication Performance of Hybrid Combinations of Ground and Aerial Vehicles. CoRR abs/1910.10451 (2019) - [i21]Benjamin Sliwa, Christian Wietfeld:
Data-driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems. CoRR abs/1911.10753 (2019) - 2018
- [c20]Benjamin Sliwa, Nico Piatkowski, Marcus Haferkamp, Dennis Dorn, Christian Wietfeld:
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting. ITSC 2018: 898-905 - [c19]Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld:
Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication. MDM 2018: 282-283 - [c18]Johannes Pillmann, Benjamin Sliwa, Christian Wietfeld:
The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces. MDM 2018: 284-285 - [c17]Robert Falkenberg, Jens Drenhaus, Benjamin Sliwa, Christian Wietfeld:
System-in-the-loop design space exploration for efficient communication in large-scale IoT-based warehouse systems. SysCon 2018: 1-6 - [c16]Benjamin Sliwa, Marcus Haferkamp, Manar Al-Askary, Dennis Dorn, Christian Wietfeld:
A radio-fingerprinting-based vehicle classification system for intelligent traffic control in smart cities. SysCon 2018: 1-5 - [c15]Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators. VTC Fall 2018: 1-7 - [c14]Stefan Monhof, Marcus Haferkamp, Benjamin Sliwa, Christian Wietfeld:
Payload-Size and Deadline-Aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-Load Scenarios. VTC Fall 2018: 1-5 - [c13]Johannes Pillmann, Daniel Behnke, Benjamin Sliwa, Matthias Priebe, Christian Wietfeld:
Efficient and Reliable Car-to-Cloud Data Transfer Empowered by BBR-Enabled Network Coding. VTC Fall 2018: 1-5 - [c12]Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Johannes Pillmann, Christian Wietfeld:
Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks. VTC Fall 2018: 1-7 - [c11]Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld:
Efficient Machine-Type Communication Using Multi-Metric Context-Awareness for Cars Used as Mobile Sensors in Upcoming 5G Networks. VTC Spring 2018: 1-6 - [c10]Benjamin Sliwa, Johannes Pillmann, Maximilian Klaß, Christian Wietfeld:
Exploiting Map Topology Knowledge for Context-Predictive Multi-Interface Car-to-Cloud Communication. VTC Fall 2018: 1-6 - [c9]Tim Vranken, Benjamin Sliwa, Christian Wietfeld, Michael Schreckenberg:
Performance Comparison of Dynamic Vehicle Routing Methods for Minimizing the Global Dwell Time in Upcoming Smart Cities. VTC Fall 2018: 1-7 - [i20]Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld:
Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks. CoRR abs/1801.03290 (2018) - [i19]Benjamin Sliwa, Marcus Haferkamp, Manar Al-Askary, Dennis Dorn, Christian Wietfeld:
A Radio-fingerprinting-based Vehicle Classification System for Intelligent Traffic Control in Smart Cities. CoRR abs/1801.03291 (2018) - [i18]Marcus Haferkamp, Manar Al-Askary, Dennis Dorn, Benjamin Sliwa, Lars Habel, Michael Schreckenberg, Christian Wietfeld:
Radio-based Traffic Flow Detection and Vehicle Classification for Future Smart Cities. CoRR abs/1801.03317 (2018) - [i17]Robert Falkenberg, Jens Drenhaus, Benjamin Sliwa, Christian Wietfeld:
System-in-the-loop Design Space Exploration for Efficient Communication in Large-scale IoT-based Warehouse Systems. CoRR abs/1802.03033 (2018) - [i16]Johannes Pillmann, Benjamin Sliwa, Jens Schmutzler, Christoph Ide, Christian Wietfeld:
Car-to-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model. CoRR abs/1802.07475 (2018) - [i15]Johannes Pillmann, Benjamin Sliwa, Christian Kastin, Christian Wietfeld:
Empirical evaluation of predictive channel-aware transmission for resource efficient car-to-cloud communication. CoRR abs/1802.07476 (2018) - [i14]Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld:
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication. CoRR abs/1804.05533 (2018) - [i13]Johannes Pillmann, Benjamin Sliwa, Christian Wietfeld:
The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces. CoRR abs/1805.05467 (2018) - [i12]Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld:
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks. CoRR abs/1805.06603 (2018) - [i11]Stefan Monhof, Marcus Haferkamp, Benjamin Sliwa, Christian Wietfeld:
Payload-size and Deadline-aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-load Scenarios. CoRR abs/1805.06655 (2018) - [i10]Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators. CoRR abs/1806.06620 (2018) - [i9]Benjamin Sliwa, Nico Piatkowski, Marcus Haferkamp, Dennis Dorn, Christian Wietfeld:
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting. CoRR abs/1807.00464 (2018) - [i8]Benjamin Sliwa, Johannes Pillmann, Maximilian Klaß, Christian Wietfeld:
Exploiting Map Topology Knowledge for Context-predictive Multi-interface Car-to-cloud Communication. CoRR abs/1807.01042 (2018) - 2017
- [c8]Benjamin Sliwa, Johannes Pillmann, Fabian Eckermann, Lars Habel, Michael Schreckenberg, Christian Wietfeld:
Lightweight joint simulation of vehicular mobility and communication with LIMoSim. VNC 2017: 81-88 - [c7]Johannes Pillmann, Benjamin Sliwa, Christian Kastin, Christian Wietfeld:
Empirical evaluation of predictive channel-aware transmission for resource efficient car-to-cloud communication. VNC 2017: 235-238 - [c6]Robert Falkenberg, Benjamin Sliwa, Christian Wietfeld:
Rushing Full Speed with LTE-Advanced Is Economical - A Power Consumption Analysis. VTC Spring 2017: 1-7 - [c5]Marcus Haferkamp, Manar Al-Askary, Dennis Dorn, Benjamin Sliwa, Lars Habel, Michael Schreckenberg, Christian Wietfeld:
Radio-Based Traffic Flow Detection and Vehicle Classification for Future Smart Cities. VTC Spring 2017: 1-5 - [c4]Johannes Pillmann, Benjamin Sliwa, Jens Schmutzler, Christoph Ide, Christian Wietfeld:
Car-to-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model. VTC Spring 2017: 1-5 - [c3]Benjamin Sliwa, Robert Falkenberg, Christian Wietfeld:
A Simple Scheme for Distributed Passive Load Balancing in Mobile Ad-Hoc Networks. VTC Spring 2017: 1-5 - [c2]Marcus Haferkamp, Benjamin Sliwa, Christoph Ide, Christian Wietfeld:
Payload-Size and Deadline-Aware scheduling for time-critical Cyber Physical Systems. Wireless Days 2017: 4-7 - [i7]Benjamin Sliwa, Robert Falkenberg, Christian Wietfeld:
A Simple Scheme for Distributed Passive Load Balancing in Mobile Ad-hoc Networks. CoRR abs/1702.05235 (2017) - [i6]Robert Falkenberg, Benjamin Sliwa, Christian Wietfeld:
Rushing Full Speed with LTE-Advanced is Economical - A Power Consumption Analysis. CoRR abs/1702.05251 (2017) - [i5]Benjamin Sliwa, Johannes Pillmann, Fabian Eckermann, Christian Wietfeld:
LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++. CoRR abs/1709.02020 (2017) - [i4]Benjamin Sliwa, Johannes Pillmann, Fabian Eckermann, Lars Habel, Michael Schreckenberg, Christian Wietfeld:
Lightweight Joint Simulation of Vehicular Mobility and Communication with LIMoSim. CoRR abs/1710.02966 (2017) - 2016
- [c1]Benjamin Sliwa, Daniel Behnke, Christoph Ide, Christian Wietfeld:
B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks. GLOBECOM Workshops 2016: 1-6 - [i3]Benjamin Sliwa, Daniel Behnke, Christoph Ide, Christian Wietfeld:
B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks. CoRR abs/1607.01223 (2016) - [i2]Benjamin Sliwa, Christoph Ide, Christian Wietfeld:
An OMNeT++ based Framework for Mobility-aware Routing in Mobile Robotic Networks. CoRR abs/1609.05351 (2016) - [i1]Marcus Haferkamp, Benjamin Sliwa, Christoph Ide, Christian Wietfeld:
Payload-Size and Deadline-Aware Scheduling for Time-critical Cyber Physical Systems. CoRR abs/1610.05936 (2016)
Coauthor Index
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