@phdthesis{Loh2024,
  author    = {Loh, Frank},
  title     = {Monitoring the Quality of Streaming and Internet of Things Applications},
  edition   = {korrigierte Version},
  issn      = {1432-8801},
  doi       = {10.25972/OPUS-35096},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-350969},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {The ongoing and evolving usage of networks presents two critical challenges for current and future networks that require attention: (1) the task of effectively managing the vast and continually increasing data traffic and (2) the need to address the substantial number of end devices resulting from the rapid adoption of the Internet of Things. Besides these challenges, there is a mandatory need for energy consumption reduction, a more efficient resource usage, and streamlined processes without losing service quality. We comprehensively address these efforts, tackling the monitoring and quality assessment of streaming applications, a leading contributor to the total Internet traffic, as well as conducting an exhaustive analysis of the network performance within a Long Range Wide Area Network (LoRaWAN), one of the rapidly emerging LPWAN solutions.},
  subject      = {Leistungsbewertung},
  language  = {en}
}
@phdthesis{Loh2024,
  author    = {Loh, Frank},
  title     = {Monitoring the Quality of Streaming and Internet of Things Applications},
  issn      = {1432-8801},
  doi       = {10.25972/OPUS-34783},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-347831},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {The ongoing and evolving usage of networks presents two critical challenges for current and future networks that require attention: (1) the task of effectively managing the vast and continually increasing data traffic and (2) the need to address the substantial number of end devices resulting from the rapid adoption of the Internet of Things. Besides these challenges, there is a mandatory need for energy consumption reduction, a more efficient resource usage, and streamlined processes without losing service quality. We comprehensively address these efforts, tackling the monitoring and quality assessment of streaming applications, a leading contributor to the total Internet traffic, as well as conducting an exhaustive analysis of the network performance within a Long Range Wide Area Network (LoRaWAN), one of the rapidly emerging LPWAN solutions.},
  subject      = {Leistungsbewertung},
  language  = {en}
}
@article{LohMehlingHossfeld2022,
  author    = {Loh, Frank and Mehling, Noah and Hoßfeld, Tobias},
  title     = {Towards LoRaWAN without data loss: studying the performance of different channel access approaches},
  series = {Sensors},
  volume    = {22},
  journal   = {Sensors},
  number    = {2},
  issn      = {1424-8220},
  doi       = {10.3390/s22020691},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-302418},
  year      = {2022},
  abstract  = {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.},
  language  = {en}
}