Simon Raffeck M. Sc.

2021

1.
Raffeck, S.: Evaluating the Nature-inspired DESYNC Mechanism as an Energy-efficient LoRaWAN MAC, (2021).
[ BibTeX ] [ EndNote ]
 
@mastersthesis{info3-master-2021-10, author = {Raffeck, Simon}, keywords = {myown sys:hidden:master sys:hidden:completed sys:hidden:supervisor:florian.metzger}, month = 12, school = {University of Würzburg}, title = {Evaluating the Nature-inspired DESYNC Mechanism as an Energy-efficient LoRaWAN MAC}, year = 2021 }
%0 Thesis %1 info3-master-2021-10 %A Raffeck, Simon %D 2021 %T Evaluating the Nature-inspired DESYNC Mechanism as an Energy-efficient LoRaWAN MAC
2.
Loh, F., Raffeck, S., Metzger, F., Hoßfeld, T.: Improving LoRaWAN’s Successful Information Transmission Rate with Redundancy. 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (2021).
[ Abstract ] [ BibTeX ] [ EndNote ]
 
The adaptation of Internet of Things in our everyday life shows different new demands and challenges. One of the fastest growing technologies in this context are Low Power Wide Area Networks with LoRaWAN as one of their most prominent representatives. The promise of this technology is to transmit sensor data over large distances with very little energy consumption. But transmission behavior, and especially overhead and collision probability, must be studied in detail to improve transmission quality and energy consumption due to the random access nature of LoRaWAN. Because of that, this work investigates the LoRaWAN channel capacity by analyzing the transmission overhead, the collision probability, and the data loss. At the end, an energy consumption comparison is done. The contribution is a novel approach based on aggregation and retransmission that shows a decreased data loss of up to 20% compared to the currently used random channel access.
@inproceedings{info3-inproceedings-2021-19, abstract = {The adaptation of Internet of Things in our everyday life shows different new demands and challenges. One of the fastest growing technologies in this context are Low Power Wide Area Networks with LoRaWAN as one of their most prominent representatives. The promise of this technology is to transmit sensor data over large distances with very little energy consumption. But transmission behavior, and especially overhead and collision probability, must be studied in detail to improve transmission quality and energy consumption due to the random access nature of LoRaWAN. Because of that, this work investigates the LoRaWAN channel capacity by analyzing the transmission overhead, the collision probability, and the data loss. At the end, an energy consumption comparison is done. The contribution is a novel approach based on aggregation and retransmission that shows a decreased data loss of up to 20% compared to the currently used random channel access.}, author = {Loh, Frank and Raffeck, Simon and Metzger, Florian and Hoßfeld, Tobias}, booktitle = {17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)}, keywords = {myown sys:hidden:inproceedings 5mart}, month = 10, title = {Improving LoRaWAN’s Successful Information Transmission Rate with Redundancy}, year = 2021 }
%0 Conference Paper %1 info3-inproceedings-2021-19 %A Loh, Frank %A Raffeck, Simon %A Metzger, Florian %A Hoßfeld, Tobias %B 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) %D 2021 %T Improving LoRaWAN’s Successful Information Transmission Rate with Redundancy %X The adaptation of Internet of Things in our everyday life shows different new demands and challenges. One of the fastest growing technologies in this context are Low Power Wide Area Networks with LoRaWAN as one of their most prominent representatives. The promise of this technology is to transmit sensor data over large distances with very little energy consumption. But transmission behavior, and especially overhead and collision probability, must be studied in detail to improve transmission quality and energy consumption due to the random access nature of LoRaWAN. Because of that, this work investigates the LoRaWAN channel capacity by analyzing the transmission overhead, the collision probability, and the data loss. At the end, an energy consumption comparison is done. The contribution is a novel approach based on aggregation and retransmission that shows a decreased data loss of up to 20% compared to the currently used random channel access.

2020

1.
Raffeck, S.: Towards Modeling Energy Performance of LoRaWAN Transmissions: A Verification of Theoretical Predictions, (2020).
[ BibTeX ] [ EndNote ]
 
@mastersthesis{info3-praktikum-2020-4, author = {Raffeck, Simon}, keywords = {sys:hidden:praktikum myown 5g-net sys:hidden:completed sys:hidden:supervisor:florian.metzger fullstack}, month = 4, school = {University of Würzburg}, title = {Towards Modeling Energy Performance of LoRaWAN Transmissions: A Verification of Theoretical Predictions}, year = 2020 }
%0 Thesis %1 info3-praktikum-2020-4 %A Raffeck, Simon %D 2020 %T Towards Modeling Energy Performance of LoRaWAN Transmissions: A Verification of Theoretical Predictions

2018

1.
Nguyen-Ngoc, A., Raffeck, S., Lange, S., Geißler, S., Zinner, T., Tran-Gia, P.: Benchmarking the ONOS Controller with OFCProbe. 7th International Conference on Communications and Electronics (ICCE). , Hue, Vietnam (2018).
[ Abstract ] [ BibTeX ] [ EndNote ]
 
The increased popularity of Software Defined Networking (SDN) drives the development and research of all involved components. In particular, state-of-the-art SDN controllers are a central part of the resulting network architecture and have a large impact on the performance of the entire network. Hence, it is necessary to quantify various performance indicators of the SDN controller in order to assess its feasibility in the context of different network characteristics such as topology and network size w.r.t. the number of nodes and links. To this end, we extend the open-source controller benchmarking tool OFCProbe with several novel modules that are capable of recording relevant performance metrics and demonstrate their use in the context of benchmarking the ONOS controller. Furthermore, we investigate the impact of different types of topology characteristics on the performance of the controller. In this work, we focus on several performance indicators for SDN controllers. First, the time that the ONOS controller needs to discover the network topology and update its internal representation of the topology. Second, we investigate the duration of the installation of flow rules that are used for reactive path provisioning. Finally, we measure the response time of the controller when dealing with asynchronous messages.
@inproceedings{info3-inproceedings-2018-15, abstract = {The increased popularity of Software Defined Networking (SDN) drives the development and research of all involved components. In particular, state-of-the-art SDN controllers are a central part of the resulting network architecture and have a large impact on the performance of the entire network. Hence, it is necessary to quantify various performance indicators of the SDN controller in order to assess its feasibility in the context of different network characteristics such as topology and network size w.r.t. the number of nodes and links. To this end, we extend the open-source controller benchmarking tool OFCProbe with several novel modules that are capable of recording relevant performance metrics and demonstrate their use in the context of benchmarking the ONOS controller. Furthermore, we investigate the impact of different types of topology characteristics on the performance of the controller. In this work, we focus on several performance indicators for SDN controllers. First, the time that the ONOS controller needs to discover the network topology and update its internal representation of the topology. Second, we investigate the duration of the installation of flow rules that are used for reactive path provisioning. Finally, we measure the response time of the controller when dealing with asynchronous messages.}, address = {Hue, Vietnam}, author = {Nguyen-Ngoc, Anh and Raffeck, Simon and Lange, Stanislav and Geißler, Stefan and Zinner, Thomas and Tran-Gia, Phuoc}, booktitle = {7th International Conference on Communications and Electronics (ICCE)}, keywords = {myown sendate-planets 5g-net sys:hidden:inproceedings ngn}, month = 7, title = {Benchmarking the ONOS Controller with OFCProbe}, year = 2018 }
%0 Conference Paper %1 info3-inproceedings-2018-15 %A Nguyen-Ngoc, Anh %A Raffeck, Simon %A Lange, Stanislav %A Geißler, Stefan %A Zinner, Thomas %A Tran-Gia, Phuoc %B 7th International Conference on Communications and Electronics (ICCE) %C Hue, Vietnam %D 2018 %T Benchmarking the ONOS Controller with OFCProbe %X The increased popularity of Software Defined Networking (SDN) drives the development and research of all involved components. In particular, state-of-the-art SDN controllers are a central part of the resulting network architecture and have a large impact on the performance of the entire network. Hence, it is necessary to quantify various performance indicators of the SDN controller in order to assess its feasibility in the context of different network characteristics such as topology and network size w.r.t. the number of nodes and links. To this end, we extend the open-source controller benchmarking tool OFCProbe with several novel modules that are capable of recording relevant performance metrics and demonstrate their use in the context of benchmarking the ONOS controller. Furthermore, we investigate the impact of different types of topology characteristics on the performance of the controller. In this work, we focus on several performance indicators for SDN controllers. First, the time that the ONOS controller needs to discover the network topology and update its internal representation of the topology. Second, we investigate the duration of the installation of flow rules that are used for reactive path provisioning. Finally, we measure the response time of the controller when dealing with asynchronous messages.

2016

1.
Raffeck, S.: Benchmarking SDN Controller with OFCProbe, (2016).
[ BibTeX ] [ EndNote ]
 
@mastersthesis{info3-bachelor-2016-11, author = {Raffeck, Simon}, keywords = {myown ngn sys:hidden:completed sys:hidden:supervisor:stefan.geissler sys:hidden:bachelor sys:hidden:supervisor:anh.nguyen-ngoc sys:hidden:supervisor:thomas.zinner}, month = 9, school = {University of Würzburg}, title = {Benchmarking SDN Controller with OFCProbe}, year = 2016 }
%0 Thesis %1 info3-bachelor-2016-11 %A Raffeck, Simon %D 2016 %T Benchmarking SDN Controller with OFCProbe