@inproceedings{Zhan2205:Deep,

title = {Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid},

author = {Jiajing {Zhang} and Huanzhuo {Wu} and Riccardo {Bassoli} and Riccardo {Bonetto} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-05-01},

urldate = {2022-05-01},

booktitle = {2022 IEEE International Conference on Communications (ICC): Green Communication Systems and Networks Symposium (IEEE ICC'22 - GCSN Symposium)},

address = {Seoul, Korea (South)},

abstract = {\"{A}pplying renewable energy in smart micro grid (MG) is increasingly receiving attention to reducing greenhouse gas emissions. However, the mismatch between supply and demand hinders the realization of this process. With the widespread use of Electrical Vehicles (EVs) and the development of emerging Mobile Edge Clouds (MECs), intelligent energy optimization becomes a way to the addressee the challenge. Therefore, in this paper, we propose a novel two-stage approach based on Deep Learning (DL) to reduce overall energy cost for sharing EVs integrated MG by forecasting its state and optimizing EVs scheduling. Our simulation results show that the joint design of forecasting and optimization reduces the overall energy consumption and the payment to the external grid."},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Soss2201:OWD,

title = {Enhanced One-Way Delay Monitoring with OpenFlow},

author = {Peter {Sossalla} and Justus {Rischke} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-01-12},

urldate = {2022-01-12},

booktitle = {2022 IEEE 36th International Conference on Information Networking (ICOIN 2022)},

address = {Jeju Island, Korea},

abstract = {Network monitoring is an important task in future networks to mitigate outages, guarantee low latency and high throughput, and quickly adapt to changes of network conditions. Software-Defined Networking (SDN) enables dynamic adaptation to changing network environments through the ability to program network behavior. However, to react properly to changing environments, precise and credible information about performance metrics such as latency is necessary. Recent research activities exploited OpenFlow, an SDN protocol, to measure delays inside the network, without the need for additional hard- or software. In this paper, we propose an improved method to measure one-way delays, which can handle asymmetrical delays between the SDN controller and the switches. We implemented our approach in a hardware testbed to evaluate it in a setup with asymmetrical delays and traffic loads. The results show that we are able to measure asymmetrical delays in the network. Additionally, the proposed solution is capable of discovering the network topology and therefore gives together with the performance metrics the information for efficient routing decisions. In addition, we make the source code of our implementation publicly available.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann22:JAVRIS,

title = {JAVRIS: Joint Artificial Visual Prediction and Control for Remote-(Robot) Interaction Systems},

author = {Andreas I. {Grohmann} and Johannes V. S. {Busch} and Adrian {Bretschneider} and Christopher {Lehmann} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2022)},

address = {Las Vegas, USA},

abstract = {In recent years, robots are taking on more and more tasks throughout many different application domains. Many of those robots work fully automatically and without human intervention. However, more complex tasks still require to be done by a human in remote control. One example would be robot remote surgery. Remote controlling a robot requires ultra-low latency on the communication, to allow fast and precise movements. To make this possible with today's systems, the human operator must be in the same room. Enabling the operator to operate from anywhere around the world, would bring a huge benefit as travels for highly trained experts can be minimized. In order to allow wider distances between the operator and robot, we propose an AI-based prediction. Predicting the robots behavior can generate negative latency, which improves the precision of control. In large-scale communication networks, the main part of experienced latency comes from the propagation delay and is therefore not avoidable. Predicting upcoming data before it actually arrives, can create a zero-latency experience for the human operator. To prove this idea in the context of remote robot control, we propose JAVRIS. Using the CMIYC demonstrator as example, JAVRIS improved the score of an inexperienced user by over 1000%.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sossalla2201:Offloading,

title = {Offloading Robot Control with 5G},

author = {Peter {Sossalla} and Justus {Rischke} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-01},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2022)},

address = {Las Vegas, USA},

abstract = {Simultaneous Localization and Mapping (SLAM), among other critical 

functions of mobile robots, such as navigation, are computationally 

expensive. When deployed at the robot, those functions demand high energy 

consumption and result in shorter operation time. Offloading SLAM to an 

Edge Cloud (EC) can significantly reduce the robot's computing demand and 

resources, subsequently reducing energy consumption. We offload 

intelligence of mobile robot control functionality, i.e., navigation, 

localization, and control to an EC. The EC processes sensor data and sends 

the robot the directional velocities. Meanwhile, a 5G wireless connection 

ensures the necessary low latencies and high throughputs. We demonstrate 

the feasibility of offloading SLAM and navigation in an EC based on a use 

case in automotive production. Additionally, we developed a digital twin of 

the robot and visualized its current sensor data.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2201:Demonstration,

title = {Demonstration of In-Network Audio Processing for Low-Latency Anomaly Detection in Smart Factories},

author = {Huanzhuo {Wu} and Yunbin {Shen} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-01},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tomo2201:Bitteiler,

title = {Bitteiler: Demonstration of Efficient and Private Massive Industrial IoT Communications},

author = {M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Maroua {Taghouti} and Huanzhuo {Wu} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann22:BakeryRoboty,

title = {BakeryRobot: 5G connected robot for SMEs},

author = {Andreas I. {Grohmann} and Christopher {Lehmann} and Thomas {H\"{o}schele} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wagn2201:Tactile,

title = {Tactile Electronics Meets Softwarised Networks},

author = {Jens {Wagner} and Helmuth {Morath} and Jiajing {Zhang} and Florian {Wieczorek} and Lisa-Marie {L\"{u}neburg} and Frank H. P. {Fitzek} and Giang T. {Nguyen}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-01},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

abstract = {Empowered by the shallow latency softwarised networks, the envisioned Tactile Internet with Human in the Loop (TaHiL) requires tactile electronics to infer human intention. Their integration, even though critical, lacks a detailed discussion in the literature. This paper highlights the critical roles of integrating tactile electronics and softwarised networks aiming at increasing adaption. We systematically address three components of such integration, namely the wireless frontend and medium access, data compression, and adaptation. Finally, we present eGlove, a prototypical wireless sensor testbed to capture the position of the hand and the motion of each finger, a significant step to future evaluation.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lehmann21:CooperationIn5G,

title = {On the Challenges and Performance of Cooperative Communication in 5G and B5G Systems},

author = {Christopher {Lehmann} and Riccardo {Trivisonno} and Sreekrishna {Pandi} and Clarissa {Marquezan} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-12-07},

urldate = {2021-12-07},

booktitle = {IEEE Global Communications Conference},

address = {Madrid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu21:InNetworkProcessingAcousticData,

title = {In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory},

author = {Huanzhuo {Wu} and Yunbin {Shen} and Xun {Xiao} and Artur {Hecker} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-12-07},

urldate = {2021-12-01},

booktitle = {2021 IEEE Global Communications Conference: IoT and Sensor Networks (Globecom2021 IoTSN)},

address = {Madrid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu21:InNetworkProcessingLowLatency,

title = {In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks},

author = {Huanzhuo {Wu} and Jia {He} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Zuo {Xiang} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-12-07},

urldate = {2021-12-01},

booktitle = {2021 IEEE Global Communications Conference: Next-Generation Networking and Internet (Globecom2021 NGNI)},

address = {Madrid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Senk21:CampusTestbed,

title = {5G NSA and SA Campus Network Testbeds for Evaluating Industrial Automation},

author = {Stefan {Senk} and Sebastian A. W. {Itting} and Jennifer {Gabriel} and Christopher {Lehmann} and Thomas {H\"{o}schele} and Frank H. P. {Fitzek} and Martin {Reisslein}},

year  = {2021},

date = {2021-11-10},

booktitle = {European Wireless 2021},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schw2111:Analytical,

title = {Analytical Performance Investigation of CRLNC in Single Hop Communication},

author = {Paul {Schwenteck} and Rico {Radeke} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-11-10},

booktitle = {European Wireless 2021},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ulbricht21:hwswTSN,

title = {Emulation vs. Reality: Hardware and Software Co-Design in Emulated and Implemented Time-Sensitive Networks},

author = {Marian {Ulbricht} and Javier {Acevedo} and Surik {Krdoyan} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-11-10},

booktitle = {European Wireless 2021},

address = {Verona, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Palaios2110:Effect,

title = {Effect of Spatial, Temporal and Network Features on Uplink and Downlink Throughput Prediction},

author = {Alexandros {Palaios} and Christian Leonard {Vielhaus} and Daniel Fabian {K\"{u}lzer} and Philipp {Geuer} and Raja {Sattiraju} and Jochen {Fink} and Martin {Kasparick} and Cara {Watermann} and Gerhard P. {Fettweis} and Frank H. P. {Fitzek} and Hans D. {Schotten} and Slawomir {Stanczak}},

year  = {2021},

date = {2021-10-13},

urldate = {2021-10-13},

booktitle = {2021 IEEE 4th 5G World Forum (5GWF) (5G-WF'21)},

address = {Montreal, Canada},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ulbricht21:PreciseFruits,

title = {Precise Fruits: Hardware Supported Time-Synchronisation on the RaspberryPI},

author = {Marian {Ulbricht} and Javier {Acevedo} and Surik {Krdoyan} and Frank H. P. {Fitzek} },

year  = {2021},

date = {2021-09-22},

booktitle = {2021 International Conference on Smart Applications, Communications and Networking (SmartNets): Industry 40 and Connected Factory},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schw2109:Theoretical,

title = {Performance Analysis of Caterpillar RLNC in Multi-Hop Communication},

author = {Paul {Schwenteck} and Elif {Tasdemir} and Rico {Radeke} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-09-12},

booktitle = {IEEE PIMRC 2021},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pala2109:Network,

title = {Network Under Control: Multi-Vehicle E2E Measurements for AI-Based QoS Prediction},

author = {Alexandros {Palaios} and Philipp {Geuer} and Jochen {Fink} and Daniel Fabian {K\"{u}lzer} and Fabian {G\"{o}ttsch} and Martin {Kasparick} and Daniel {Sch\"{a}ufele} and Rodrigo {Hernang\'{o}mez} and Sanket {Partani} and Raja {Sattiraju} and Atul {Kumar} and Friedrich {Burmeister} and Andreas {Weinand} and Christian Leonard {Vielhaus} and Frank H. P. {Fitzek} and Gerhard P. {Fettweis} and Hans D. {Schotten} and Slawomir {Stanczak}},

year  = {2021},

date = {2021-09-12},

urldate = {2021-09-01},

booktitle = {2021 IEEE 32nd Annual International Symposium on Personal, Indoor and 

Mobile Radio Communications (PIMRC) (IEEE PIMRC 2021)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sossalla21:EdgeSLAM,

title = {Evaluating the Advantages of Remote SLAM on an Edge Cloud},

author = {Peter {Sossalla} and Justus {Rischke} and Johannes {Hofer} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-09-07},

booktitle = {2021 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9492677,

title = {A Translator as Virtual Network Function for Network Level Interoperability of Different IoT Technologies},

author = {Sisay Tadesse {Arzo} and Francesco {Zambotto} and Fabrizio {Granelli} and Riccardo {Bassoli} and Michael {Devetsikiotis} and Frank H. P. {Fitzek}},

doi = {10.1109/NetSoft51509.2021.9492677},

year  = {2021},

date = {2021-06-28},

urldate = {2021-01-01},

booktitle = {2021 IEEE 7th International Conference on Network Softwarization (NetSoft)},

pages = {416-422},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2106:Abstraction,

title = {Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis},

author = {Huanzhuo {Wu} and Jia {He} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-06-14},

booktitle = {WS17 IEEE ICC 2021 Workshop on Communication, Computing, and Networking in Cyber-Physical Systems (WS17 ICC'21 Workshop - CCN-CPS)},

address = {Montreal, Canada},

abstract = {In the deployments of cyber-physical systems, specifically predictive maintenance and Internet of Things applications, a staggering amount of data can be harvested, transmitted, and recorded. Although the collection of large data sets can be used for many solutions, its utilization is made difficult by the increased overhead on the transmission and limited processing capabilities of the underlying physical system. For such highly correlated and extensive data, this situation is usually described as data-rich, information-poor. We propose for the first time a novel one-stage method, called Information-Abstraction-Net (IA-Net), for the detection of abnormal events in multi-object anomaly detection scenarios by 

utilizing highly abstracted sensory information instead of the entire sampled data set to elevate the transmission and analysis needs of the system. We find that the computation complexity of IA-Net is reduced by half compared to competing solutions and the detection accuracy is increased by about 5-47%, as well.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2021:Sliding,

title = {Sliding Window RLNC on Multi-Hop Communication for Low Latency},

author = {Elif {Tasdemir} and Juan A. {Cabrera Guerrero} and Frank {Gabriel} and Dongho {You} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-04-25},

booktitle = {2021 IEEE 93rd Vehicular Technology Conference: VTC2021-Spring},

address = {Helsinki, Finland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2021:LowLatency,

title = {Low-latency Sliding-window Recoding},

author = {Elif {Tasdemir} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-04-25},

booktitle = {2021 IEEE 93rd Vehicular Technology Conference: VTC2021-Spring},

address = {Helsinki, Finland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9120818,

title = {Do not Waste the Waste: Packetized Rateless Algebraic Consistency for IEEE 802.11 Networks},

author = {Juan A. {Cabrera Guerrero} and Raphael {Steppert} and Frank {Gabriel} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-03-29},

urldate = {2021-01-01},

booktitle = {2021 IEEE Wireless Communications and Networking Conference (WCNC)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torr2101:Benchmarking,

title = {Benchmarking Live Migration Performance under Stressed Conditions},

author = {Roberto {Torre} and Robert-Steve {Schmoll} and Florian {Kemser} and Hani {Salah} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Live migration is a technology that seamlessly relocates a virtualized service between physical hosts, which allows services to rapidly adapt to environmental changes. Despite the large amount of research, mainly aiming at minimizing the downtime, there is still a lack of understanding of its performance using the most common off-the-shelf virtualization technologies, namely docker containers and KVM. Understanding the barriers of live migration will give companies the knowledge on whether the migration is possible or not, when the migration needs to be triggered, how many resources the migration will use, and under which conditions the migration will be successful. Moreover, it helps to detect bottlenecks, and also to identify which parts of the migration need to be improved. Towards a better understanding of live migration, we build a testbed and use it to migrate a computation-intensive application with docker and KVM. We evaluate the service downtime, migration time, and network usage under different conditions. The results show that KVM outperforms docker in most of the scenarios, with some critical exceptions where only docker manages to perform migration.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{SeeFit2101:Anticipatory,

title = {Anticipatory Networking: Negative Latency for Ubiquitous Computing},

author = {Patrick {Seeling} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

 (CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Future networks relying on models in their applications, e.g., control loops in the Tactile Internet, will exhibit a need to have model parameters available before interactions take place. This anticipatory delivery of model weights effectively results in required negative latencies for the overall services. We provide an exemplary motivation based on advertising to mobile users that is optimized by user-modeled preferences. We employ this example for our discussion of anticipatory networking in this paper, with an overall focus on the overarching concepts.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kropp2021,

title = {Reliable Control for Robotics - Hardware Resilience Powered by Software},

author = {Alexander {Kropp} and Mario {Schwalbe} and Ievgenii A. {Tsokalo} and Martin {S\"{u}\sskraut} and Robert-Steve {Schmoll} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Industry 4.0 is now much more than just a buzzword. However, with the advancement of automation through digitization and softwarization of dedicated hardware, applications are also becoming more susceptible to random hardware errors in the calculation. This cyber-physical demonstrator uses a robotic application to show the effects that even single bit flips can have in the real world due to hardware errors. Using the graphical user interface including the human machine interface, the audience can generate hardware errors in the form of bit flips and see their effects live on the robot. In this paper we will be showing a new technology, the SIListra Safety Transformer (SST), that makes it possible to detect those kind of random hardware errors, which can subsequently make safety-critical applications more reliable.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann2021,

title = {Catch Me If You Can: Demonstration of Publicly Remote Controlled Robots},

author = {Andreas I. {Grohmann} and Alexander {Kropp} and Christopher {Lehmann} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {This demonstrator enables remote audiences to control robots within our lab. The purpose is to play a little game in order to show remote control over the public internet. Users are able to interact with the demo remotely through the web interface. This demonstrates an straight forward approach for remote robot operation independent from a specific device. Any current web browser running on a commercial off-the-shelf computer or mobile phone can be used to interact with the demo. However, it also shows the limitations of this kind of robot control. Dependent on the user's location and network connection, different amounts of latency come into play. Within this demo this effects the difficulty, as only fast or precise movements are possible.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Groh2101:Interference,

title = {Interference resilience of Thread: A practical performance evaluation},

author = {Andreas I. {Grohmann} and David {Nophut} and Marek {Sobe} and Adrian {Bretschneider} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Currently, most IoT services are hosted centralized 

in a cloud. However, they rely on data gathered by numerous 

distributed sensors, which require to be connected to these clouds. 

At the moment this is realized with non-IP based proprietary 

wireless sensor networks that use inflexible networking concepts 

and require to be carefully configured. 

The Thread protocol, with its implementation OpenThread, is 

a new wireless mesh approach to solve this problem. OpenThread 

is maintained by the Thread group, which is an organization 

supported by almost 300 companies, including Google, Amazon, 

and Apple. Its design is based on an IPv6, for seamless integration 

in existing IP networks. 

This work, after a short a practical overview of the Thread 

protocol in general, investigates the network performance in 

different interference scenarios based on results from a hardware 

testbed, set up in an office building. This testbed is based on 

the Nordic Semiconductor nRF52840 System on a Chip (SoC), 

running OpenThread from the official github repository. Besides 

a thorough examination for round-trip-time (RTT) and losses, a 

stability test was performed over five weeks, to see the impact 

of interference during business hours. We measured RTTs in 

the range of 10 to 100 ms and losses up to 40% depending 

on interfering wireless services. Despite its obvious advantages, 

from our experimental results, it is evident how some practical 

limitations make OpenThread not always a good choice.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2021:JointCoding,

title = {Joint Application of Sliding Window and Full-Vector RLNC for Vehicular Platooning},

author = {Elif {Tasdemir} and Christopher {Lehmann} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-01},

booktitle = {2021 11th Annual Computing and Communication Workshop and Conference (CCWC)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Acev2111:Hardware,

title = {Hardware Accelerated Cryptography for Tactile Internet},

author = {Javier {Acevedo} and Marian {Ulbricht} and Jennifer {Gabriel} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-01},

booktitle = {European Wireless 2021 (EW 2021)},

address = {Verona, Italy},

abstract = {Tactile Internet (TI) applications such as industry automa-tion, connected 

autonomous cars, augmented reality and remotesurgery, are based on secure 

data transmissions at a very lowend-to-end latency. In order to fulfill 

those requirements in real applications, it is necessary to implement 

traffic encryption on the physical layer rather than the application layer. 

Nevertheless, the aforementioned integration is a computing intensive task, 

in which many arithmetic operations are involved. Therefore, hardware 

acceleration may be a solution to provide enough throughput, while 

maintaining low power consumption. In this paper we present the 

implementation of hardware acceleratorsfor cryptographic algorithms on 

heterogeneous multi-core dedicated hardware, using the state-of-the-art 

WolfSSL software embedded library. By comparing our implementation to 

software-only solutions in terms of throughput and delay using variabledata 

sets, we find performance improvements up to three orders of magnitude as 

well as around 80% latency reductions in the computing time.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Fitz2109:Frontiers,

title = {Frontiers of Transdisciplinary Research in Tactile Internet with Human-in-the-Loop},

author = {Frank H. P. {Fitzek} and Shu-Chen {Li} and Stefanie {Speidel} and Thorsten {Strufe} and Patrick {Seeling}},

year  = {2021},

date = {2021-01-01},

booktitle = {2021 17th International Symposium on Wireless Communication Systems (ISWCS) 

(ISWCS 2021)},

address = {Berlin, Germany},

abstract = {Recent technological advances in developing intelligent telecommunication 

networks, ultra-compact bendable wireless transceiver chips, adaptive 

wearable sensors and actuators, and secure computing infrastructures along 

with progress made in psychology and neuroscience for understanding 

neurocognitive and computational principles of human behavior combined have 

paved the way for a new field of research: Tactile Internet with 

Human-in-the-Loop (TaHiL). This emerging field of transdisciplinary 

research aims to promote next generation digitalized human-machine 

interactions in perceived real time. To achieve this goal, mechanisms and 

principles of human goal-directed multisensory perception and action need 

to be integrated into technological designs for breakthrough innovations in 

mobile telecommunication, electronics and materials engineering, as well as 

computing. This overview article highlights key challenges and the 

frontiers of research embarked in the new field of TaHiL. Revolutionizing 

the current Internet as the digital infrastructure for sharing visual and 

auditory information globally, the TaHiL research will enable humans to 

share tactile and haptic information and thus veridically immerse 

themselves into virtual, remote or inaccessible real environments to 

exchange skills and expertise with other humans or machines for 

applications in medicine, industry, and the Internet of Skills.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Mehr2020:Energyc,

title = {Energy-Aware Cooperative Offloading Framework for Inter-dependent and Delay-sensitive Tasks},

author = {Mahshid {Mehrabi} and Shiwei {Shen} and Vincent {Latzko} and Yuanfei {Wang} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Selected Areas in Communications: Cloud \& Fog/Edge Computing, Networking and Storage (Globecom2020 SAC CCNS)},

address = {Taipei, Taiwan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre020:harq,

title = {A Random Linear Network Coded HARQ Solution for Lossy and High-Jitter Wireless Networks},

author = {Roberto {Torre} and Clara {Costa Sala} and Sreekrishna {Pandi} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (IEEE Globecom 2020 CQRM)},

journal = {2020 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (IEEE Globecom 2020 CQRM)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Zimm2012:Journey,

title = {Journey to MARS: Interplanetary Coding for relieving CDNs},

author = {Sandra {Zimmermann} and Justus {Rischke} and Juan A. {Cabrera Guerrero} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Selected Areas in Communications: Cloud \& Fog/Edge Computing, Networking and Storage (Globecom2020 SAC CCNS)},

address = {Taipei, Taiwan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2020b,

title = {Adaptive Extraction-Based Independent Component Analysis for Time-Sensitive Applications},

author = {Huanzhuo {Wu} and Yunbin {Shen} and Jiajing {Zhang} and Hani {Salah} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Selected Areas in Communications: Internet of Things and Smart Connected Communities (Globecom2020 SAC IoTSCC)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Doan2012:FAST,

title = {FAST: Flexible and Low-latency State Transfer in Mobile Edge Computing},

author = {Tung V. {Doan} and Chenglin {Ding} and Giang T. {Nguyen} and Dongho {You} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Next-Generation Networking and Internet (Globecom2020 NGNI)},

address = {Taipei, Taiwan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{recoding2020,

title = {Exploring the Benefits of Memory-Limited Fulcrum Recoding for Heterogeneous Nodes},

author = {Vu {Nguyen} and Juan A. {Cabrera Guerrero} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {IEEE Globecom},

journal = {IEEE Globecom},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Hofmann2020,

title = {Optimal Throughput Allocation in Air-to-Ground Networks},

author = {Sandra {Hofmann} and Dominic A. {Schupke} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference (IEEE Globecom 2020)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{securityNC2020,

title = {Efficient Confidentiality for Network Coded Distributed Storage},

author = {F\"{o}rster {Niklas} and Juan A. {Cabrera Guerrero} and Elke {Franz} and Stefan {Pfennig} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {IEEE Globecom},

journal = {IEEE Globecom},

address = {Taipei, Taiwan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{HofmannMobiwac2020,

title = {Distributed Resource Allocation and Load Balancing in Air-to-Ground Networks},

author = {Sandra {Hofmann} and Dominic A. {Schupke} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-11-16},

booktitle = {Proceedings of 18th ACM International Symposium on Mobility Management and Wireless Access (MobiWac’20). ACM, New York, NY, USA)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Peri2010:Maximizing,

title = {Maximizing Airtime Efficiency for Reliable Broadcast Streams in WMNs with Multi-Armed Bandits},

author = {Giovanni {Perin} and David {Nophut} and Leonardo {Badia} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-10-25},

booktitle = {2020 11th IEEE Annual Ubiquitous Computing, Electronics \& Mobile Communication Conference (UEMCON) (IEEE UEMCON 2020)},

address = {virtual, India},

abstract = {Wireless broadcast routing is a complex problem, shown in the literature to be NP-complete. Current protocols implement either heuristics to find solutions that are not guaranteed to be optimal or classic flooding. However, many future use cases, like automotive applications, industrial robotics and multimedia broadcast, will require efficient yet reliable methods. In this work, we use contextual multi-armed bandits together with opportunistic routing (OR) and network coding (NC) to find approximately optimal solutions to the problem of broadcast routing in a distributed fashion. Each router independently learns its own transmission credit, i.e., the number of packets to forward for each innovative packet received, so that the airtime cost, subject to latency constraints, is minimized. Results show that the proposed solutions, particularly the deep learning based one, vastly improve the verall reliability, while performing close to MORE multicast in terms of airtime and to B.A.T.M.A.N. in latency, both being the best candidates in the respective discipline among the tested ones.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lehmann20CAVS,

title = {A MEC-assisted Vehicle Platooning Control through Docker Containers},

author = {Salvatore {Dabbene} and Christopher {Lehmann} and Claudia {Campolo} and Antonella {Molinaro} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-10-05},

booktitle = {2020 IEEE 3rd Connected and Automated Vehicles Symposium: IEEE CAVS 2020},

address = {Victoria, Canada},

abstract = {The Multi-access Edge Computing (MEC) paradigm allows several automotive applications to be offloaded from the vehicles to the edge. Besides a higher computation capability, compared to the on-board vehicle, and the shorter latency, compared to the remote cloud, the edge offers additional (context) information that is not directly available at the vehicle, e.g., via data fusion from multiple sources. In this paper we propose a high-level architecture for MEC-assisted platooning control. Within the architecture, the longitudinal controller is conceived as a virtualized application running on an edge server, and aligned with the European Telecommunications Standard Insti-tute (ETSI) MEC reference framework. Performance assessment conducted through an experimental realistic framework, coupling a vehicular mobility simulator and Docker containers, showcases the feasibility and effectiveness of our proposal.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre20Benchmarking,

title = {Benchmarking Live Migration Performance of Two Trendy Virtualization Technologies},

author = {Roberto {Torre} and Robert-Steve {Schmoll} and Florian {Kemser} and Hani {Salah} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-07-06},

booktitle = {2020 IEEE INFOCOM WKSHPS: CNERT 2020: Computer and Networking Experimental 

Research using Testbeds (INFOCOM 2020 WKSHPS CNERT 2020)},

address = {Toronto, Canada},

abstract = {Live migration is a technology that seamlessly relocates a virtualized 

service between physical hosts, which allows services to rapidly adapt to 

environmental changes. Despite the large amount of research, mainly aiming 

at minimizing the downtime, there is still a lack of understanding of its 

performance using the most common off-the-shelf virtualization 

technologies, namely docker containers and KVM. Understanding the barriers 

of live migration will give companies the knowledge on whether the 

migration is possible or not, when the migration needs to be triggered, how 

many resources the migration will use, and under which conditions the 

migration will be successful. Moreover, it helps to detect bottlenecks, and 

also to identify which parts of the migration need to be improved. Towards 

a better understanding of live migration, we build a testbed and use it to 

migrate a computation-intensive application with docker and KVM. We 

evaluate the service downtime, migration time, and network usage under 

different conditions. The results show that KVM outperforms docker in most 

of the scenarios, with some critical exceptions where only docker manages 

to perform migration.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Doan2020b,

title = {Follow Me, If You Can: A Framework for Seamless Migration in Mobile Edge Cloud},

author = {Tung V. {Doan} and Zhongyi {Fan} and Giang T. {Nguyen} and Hani {Salah} and Dongho {You} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-07-06},

booktitle = {2020 IEEE INFOCOM Workshops},

address = {Toronto, Canada},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Mehrabi2020,

title = {Accurate Energy-Efficient Localization Algorithm for IoT Sensors},

author = {Mahshid {Mehrabi} and Pooria {Taghdiri} and Vincent {Latzko} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-06-06},

booktitle = {2020 IEEE International Conference on Communications (ICC): SAC Internet of Things Track (IEEE ICC'20 \textendash SAC-06 IoT Track)},

address = {Dublin, Ireland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2020,

title = {Component-Dependent Independent Component Analysis for Time-Sensitive Applications},

author = {Huanzhuo {Wu} and Yunbin {Shen} and Jiajing {Zhang} and Ievgenii A. {Tsokalo} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-06-06},

booktitle = {2020 IEEE International Conference on Communications (ICC)},

address = {Dublin, Ireland},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Latzko2020,

title = {Use Case Driven Evolution of Network Coding Parameters Enabling Tactile Internet Applications},

author = {Vincent {Latzko} and Christian Leonard {Vielhaus} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-06-06},

booktitle = {2020 IEEE International Conference on Communications (ICC): Communication Theory Symposium (IEEE ICC'20 \textendash CT Symposium)},

journal = {2020 IEEE International Conference on Communications (ICC): Communication Theory Symposium (IEEE ICC'20 \textendash CT Symposium)},

address = {Dublin, Ireland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9129069,

title = {Quality of Service Aware Traffic Management for Aircraft Communications},

author = {David {Tomi\'{c}} and Sandra {Hofmann} and Mustafa {Ozger} and Dominic A. {Schupke} and Cicek {Cavdar}},

year  = {2020},

date = {2020-05-28},

booktitle = {2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)},

pages = {1-6},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann2020,

title = {SourceShift: Resilient Routing in Highly Dynamic Wireless Mesh Networks},

author = {Andreas I. {Grohmann} and Frank {Gabriel} and Sandra {Zimmermann} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-04-05},

booktitle = {2020 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2020)},

address = {Seoul, Korea (South)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bonafini2020,

title = {Virtual Baseband Unit Splitting Exploiting Small Satellite Platforms},

author = {Stefano {Bonafini} and Riccardo {Bassoli} and Fabrizio {Granelli} and Frank H. P. {Fitzek} and Claudio {Sacchi}},

year  = {2020},

date = {2020-03-01},

booktitle = {2020 IEEE Aerospace Conference},

pages = {1-11},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sychev2019,

title = {Closed Loop Benchmark for Timeseries Databases},

author = {Ilya {Sychev} and Abdelrahman {Abdelkader} and Wojciech {Kozak} and Riccardo {Bonetto} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-01-10},

booktitle = {2020 IEEE 17th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2020)},

address = {Las Vegas, USA},

abstract = {The ever growing hunger for high quality, up to 

date, and efficient datasets to be used in data driven models and 

control systems led to the diffusion of a number of database 

management systems specifically tailored to support operations 

on timeseries: Timeseries Databases. Here, we focus on the 

systematic performance assessment of some of the most popular 

TSDBs available. To this end we developed a tool specifically 

designed for the task at hand: SimpleMetric. By means of Simple 

Metric, we measure the performance of the selected TSDBs in 

terms of the computational overhead introduced by a number 

of aggregation functions in a closed loop control scenario (i.e., 

monitoring and actuation).},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}