TY  - JOUR
A1  - Loh, Frank
A1  - Mehling, Noah
A1  - Hoßfeld, Tobias
T1  - Towards LoRaWAN without data loss: studying the performance of different channel access approaches
JF  - Sensors
N2  - The Long Range Wide Area Network (LoRaWAN) is one of the fastest growing Internet of Things (IoT) access protocols. It operates in the license free 868 MHz band and gives everyone the possibility to create their own small sensor networks. The drawback of this technology is often unscheduled or random channel access, which leads to message collisions and potential data loss. For that reason, recent literature studies alternative approaches for LoRaWAN channel access. In this work, state-of-the-art random channel access is compared with alternative approaches from the literature by means of collision probability. Furthermore, a time scheduled channel access methodology is presented to completely avoid collisions in LoRaWAN. For this approach, an exhaustive simulation study was conducted and the performance was evaluated with random access cross-traffic. In a general theoretical analysis the limits of the time scheduled approach are discussed to comply with duty cycle regulations in LoRaWAN.
KW  - LoRaWAN
KW  - IoT
KW  - channel management
KW  - scheduling
KW  - collision
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-302418
SN  - 1424-8220
VL  - 22
IS  - 2
ER  - 
TY  - RPRT
A1  - Vomhoff, Viktoria
A1  - Geißler, Stefan
A1  - Hoßfeld, Tobias
T1  - Identification of Signaling Patterns in Mobile IoT Signaling Traffic
T2  - Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)
N2  - We attempt to identify sequences of signaling dialogs, to strengthen our understanding of the signaling behavior of IoT devices by examining a dataset containing over 270.000 distinct IoT devices whose signaling traffic has been observed over a 31-day period in a 2G network [4]. We propose a set of rules that allows the assembly of signaling dialogs into so-called sessions in order to identify common patterns and lay the foundation for future research in the areas of traffic modeling and anomaly detection.
KW  - Datennetz
KW  - IoT
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-280819
ER  - 
TY  - JOUR
A1  - Kirikkayis, Yusuf
A1  - Gallik, Florian
A1  - Winter, Michael
A1  - Reichert, Manfred
T1  - BPMNE4IoT: a framework for modeling, executing and monitoring IoT-driven processes
JF  - Future Internet
N2  - The Internet of Things (IoT) enables a variety of smart applications, including smart home, smart manufacturing, and smart city. By enhancing Business Process Management Systems with IoT capabilities, the execution and monitoring of business processes can be significantly improved. Providing a holistic support for modeling, executing and monitoring IoT-driven processes, however, constitutes a challenge. Existing process modeling and process execution languages, such as BPMN 2.0, are unable to fully meet the IoT characteristics (e.g., asynchronicity and parallelism) of IoT-driven processes. In this article, we present BPMNE4IoT—A holistic framework for modeling, executing and monitoring IoT-driven processes. We introduce various artifacts and events based on the BPMN 2.0 metamodel that allow realizing the desired IoT awareness of business processes. The framework is evaluated along two real-world scenarios from two different domains. Moreover, we present a user study for comparing BPMNE4IoT and BPMN 2.0. In particular, this study has confirmed that the BPMNE4IoT framework facilitates the support of IoT-driven processes.
KW  - IoT
KW  - BPM
KW  - BPMN
KW  - IoT-driven processes
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-304097
SN  - 1999-5903
VL  - 15
IS  - 3
ER  -