@inproceedings{ThelenVolbertNunes, author = {Thelen, Simon and Volbert, Klaus and Nunes, Danilo Weber}, title = {A Survey on Algorithmic Problems in Wireless Systems}, series = {Proceedings of the 12th International Conference on Sensor Networks (SENSORNETS), Vol 1, Feb 23, 2023 - Feb 24, 2023, Lisbon, Portugal}, booktitle = {Proceedings of the 12th International Conference on Sensor Networks (SENSORNETS), Vol 1, Feb 23, 2023 - Feb 24, 2023, Lisbon, Portugal}, publisher = {SCITEPRESS - Science and Technology Publications}, isbn = {978-989-758-635-4}, doi = {10.5220/0011791200003399}, pages = {101 -- 111}, abstract = {Considering the ongoing growth of Wireless Sensor Networks (WSNs) and the challenges they pose due to their hardware limitations as well as the intrinsic complexity of their interactions, specialized algorithms have the potential to help solving these challenges. We present a survey on recent developments regarding algorithmic problems which have applications in wireless systems and WSNs in particular. Focusing on the intersection between WSNs and algorithms, we give an overview of recent results inside this intersection, concerning topics such as routing, interference minimization, latency reduction, localization among others. Progress on solving these problems could be potentially beneficial for the industry as a whole by increasing network throughput, reducing latency or making systems more energy-efficient. We summarize and structure these recent developments and list interesting open problems to be investigated in future works.}, language = {en} } @inproceedings{NunesVolbert, author = {Nunes, Danilo Weber and Volbert, Klaus}, title = {A Wireless Low-power System for Digital Identification of Examinees (Including Covid-19 Checks)}, series = {Proceedings of the 11th International Conference on Sensor Networks (SENSORNETS), 07.02.2022 - 08.02.2022}, booktitle = {Proceedings of the 11th International Conference on Sensor Networks (SENSORNETS), 07.02.2022 - 08.02.2022}, publisher = {SCITEPRESS - Science and Technology Publications}, isbn = {978-989-758-551-7}, doi = {10.5220/0010912800003118}, pages = {51 -- 59}, abstract = {Indoor localization has been, for the past decade, a subject under intense development. There is, however, no currently available solution that covers all possible scenarios. Received Signal Strength Indicator (RSSI) based methods, although the most widely researched, still suffer from problems due to environment noise. In this paper, we present a system using Bluetooth Low Energy (BLE) beacons attached to the desks to localize students in exam rooms and, at the same time, automatically register them for the given exam. By using Kalman Filters (KFs) and discretizing the location task, the presented solution is capable of achieving 100\% accuracy within a distance of 45cm from the center of the desk. As the pandemic gets more controlled, with our lives slowly transitioning back to normal, there are still sanitary measures being applied. An example being the necessity to show a certification of vaccination or previous disease. Those certifications need to be manually checked for everyone entering the university's building, which requires time and staff. With that in mind, the automatic check for Covid certificates feature is also built into our system.}, language = {en} } @inproceedings{ThelenEderMelzeretal., author = {Thelen, Simon and Eder, Friedrich and Melzer, Matthias and Nunes, Danilo Weber and Stadler, Michael and Rechenauer, Christian and Obergrießer, Mathias and Jubeh, Ruben and Volbert, Klaus and D{\"u}nnweber, Jan}, title = {A Slim Digital Twin For A Smart City And Its Residents}, series = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam}, booktitle = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam}, publisher = {ACM}, isbn = {979-8-4007-0891-6}, doi = {10.1145/3628797.3628936}, pages = {8 -- 15}, abstract = {In the engineering domain, representing real-world objects using a body of data, called a digital twin, which is frequently updated by "live" measurements, has shown various advantages over tradi- tional modelling and simulation techniques. Consequently, urban planners have a strong interest in digital twin technology, since it provides them with a laboratory for experimenting with data before making far-reaching decisions. Realizing these decisions involves the work of professionals in the architecture, engineering and construction (AEC) domain who nowadays collaborate via the methodology of building information modeling (BIM). At the same time, the citizen plays an integral role both in the data acquisition phase, while also being a beneficiary of the improved resource management strategies. In this paper, we present a prototype for a "digital energy twin" platform we designed in cooperation with the city of Regensburg. We show how our extensible platform de- sign can satisfy the various requirements of multiple user groups through a series of data processing solutions and visualizations, in- dicating valuable design and implementation guidelines for future projects. In particular, we focus on two example use cases concern- ing building electricity monitoring and BIM. By implementing a flexible data processing architecture we can involve citizens in the data acquisition process, meeting the demands of modern users regarding maximum transparency in the handling of their data.}, language = {en} }