Yuri Cotrado Sehgelmeble

@Article{Jain2025,
author={Jain, Sarika
and Sukul, Priyanka
and Groppe, Jinghua
and Warnke, Benjamin
and Harde, Pooja
and Jangid, Ritik
and Rehan, Waqas
and Cotrado, Yuri
and Fischer, Stefan
and Groppe, Sven},
title={A scientometric analysis of reviews on the Internet of Things},
journal={The Journal of Supercomputing},
year={2025},
month={Apr},
day={18},
volume={81},
number={6},
pages={757},
abstract={The Internet of Things (IoT) paradigm is redefining our lives, allowing us to make ``smart'' decisions. This boom has also gained popularity in academic research, one of the core goals being to make IoT research more accessible to students and early researchers, while making sure that experienced researchers keep up with the changes happening in the research area. A large number of review papers are available covering surveys related to IoT vision enabling technologies, applications, key features, and future directions. Nevertheless, there is a lack of analysis of these reviews. This study provides a scientometric analysis of already available reviews in the field of IoT to identify upcoming research needs and bring simplicity to literature research. In total, 964 review articles in the field of IoT written in English and published in peer-reviewed journals and conferences from 2010 to April 2023 have been finalized from the Google Scholar database. Three broad categories of analysis have been performed on the 964 relevant collected literature, namely (a) statistical; (b) machine learning-based; and (c) evaluative analysis. An important differentiating feature of the current study is the use of machine learning for data exploration, thereby providing better interpretation. We find that the trend to review the field of IoT has increased in the last five years with only one article in 2010. This article identifies and quantifies the knowledge gaps to inform the community, industry, and government authorities about research directions for IoT. Furthermore, this scientometric analysis serves as a foundational resource for IoT researchers in identifying relevant and important survey papers that target their research fields in IoT.},
issn={1573-0484},
doi={10.1007/s11227-025-07230-w},
url={https://doi.org/10.1007/s11227-025-07230-w}
}

@INPROCEEDINGS{CotradoSehgelmeble2022,  
author={Warnke, Benjamin and Sehgelmeble, Yuri Cotrado and Mantler, Johann and Groppe, Sven and Fischer, Stefan},  
booktitle={2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC)},
address = {Taormina (Messina), Italy},   
title={SIMORA: SIMulating Open Routing protocols for Application interoperability on edge devices},   
year={2022},
month={May},  
volume={},  
number={},  
pages={42-49},
url ={https://doi.org/10.1109/ICFEC54809.2022.00013},  
doi={10.1109/ICFEC54809.2022.00013}}

@inproceedings{10.1145/3530050.3532929,
author = {Warnke, Benjamin and Mantler, Johann and Groppe, Sven and Sehgelmeble, Yuri Cotrado and Fischer, Stefan},
title = {A SPARQL Benchmark for Distributed Databases in IoT Environments},
year = {2022},
isbn = {9781450393461},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3530050.3532929},
doi = {10.1145/3530050.3532929},
abstract = {Data transmission is one of the biggest energy consumers in low power networks. So, any application running in such environment must reduce the volume of communication caused by its presence. We want to deploy our database on a wireless sensor network. Therefore, we want to gain insights into the interoperability between routing and application in order to reduce communication costs. To do this, we propose our new benchmark framework in this contribution. Using this benchmark framework, we compare state-of-the-art database indexes and how much traffic they cause in a fully distributed environment. We believe that computing speed shouldn't be the only metric to compare databases with each other. If the database uses fewer resources, the actual application has more resources available.},
booktitle = {Proceedings of The International Workshop on Big Data in Emergent Distributed Environments},
articleno = {5},
numpages = {6},
keywords = {data distribution, simulator, DB index distribution, DB indexing strategie, benchmark, (s)IoT database, multi hop network topology, network transmission volume, DB metrics},
location = {Philadelphia, Pennsylvania},
series = {BiDEDE '22}
}

@inproceedings{CotradoSehgelmeble2020,
author = {Yuri Cotrado Sehgelmeble and Stefan Fischer},
title = {{A Different Perspective in Routing for VANETs}},
booktitle = {2020 IEEE International Symposium on Networks, Computers and Communications (ISNCC-2020)},
address = {Montreal, Canada},
year = {2020},
month = {October},
pages = {1--4},
organization = {IEEE},
url = {https://doi.org/10.1109/ISNCC49221.2020.9297351},
doi = {10.1109/ISNCC49221.2020.9297351}
}