<?xml version="1.0" encoding="UTF-8"?>
<xml><records><RECORD><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><REFERENCE_TYPE>31</REFERENCE_TYPE><CONTRIBUTORS><AUTHORS><AUTHOR><style face="normal" font="default" size="100%">Konrad Połys</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Krzysztof Grochla</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Michał Gorawski</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Artur Frankiewicz</style></AUTHOR></AUTHORS></CONTRIBUTORS><TITLES><TITLE><style face="normal" font="default" size="100%">Accuracy of UWB Location Tracking Devices When on the Move</style></TITLE></TITLES><KEYWORDS/><DATES/><AUTHORS><style face="normal" font="default" size="100%"/></AUTHORS><YEAR><style face="normal" font="default" size="100%">2019</style></YEAR><SECONDARY_TITLE><style face="normal" font="default" size="100%">International Conference on Computer Networks</style></SECONDARY_TITLE><LANGUAGE><style face="normal" font="default" size="100%">eng</style></LANGUAGE><PUBLISHER><style face="normal" font="default" size="100%">Springer</style></PUBLISHER><VOLUME><style face="normal" font="default" size="100%">International Conference on Computer Networks</style></VOLUME><PAGES><style face="normal" font="default" size="100%">233-241</style></PAGES><DATE><style face="normal" font="default" size="100%">06/2019</style></DATE><title><style face="normal" font="default" size="100%">Accuracy of UWB Location Tracking Devices When on the Move</style></title></RECORD><RECORD><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><REFERENCE_TYPE>31</REFERENCE_TYPE><CONTRIBUTORS><AUTHORS><AUTHOR><style face="normal" font="default" size="100%">Artur Frankiewicz</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Adam Glos</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Krzysztof Grochla</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Zbigniew Łaskarzewski</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Konrad Połys</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Przemysław Sadowski</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Anna Strzoda</style></AUTHOR></AUTHORS></CONTRIBUTORS><TITLES><TITLE><style face="normal" font="default" size="100%">LP WAN Gateway Location Selection Using Modified K-Dominating Set Algorithm</style></TITLE></TITLES><KEYWORDS/><DATES/><AUTHORS><style face="normal" font="default" size="100%"/></AUTHORS><YEAR><style face="normal" font="default" size="100%">2020</style></YEAR><SECONDARY_TITLE><style face="normal" font="default" size="100%">Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems</style></SECONDARY_TITLE><LANGUAGE><style face="normal" font="default" size="100%">eng</style></LANGUAGE><PUBLISHER><style face="normal" font="default" size="100%">Springer</style></PUBLISHER><DATE><style face="normal" font="default" size="100%">01/2021</style></DATE><ABSTRACT><style face="normal" font="default" size="100%">&lt;p&gt;The LP WAN networks use gateways or base stations to communicate with devices distributed on large distances, up&#160;to tens of kilometres. The selection of optimal gateway locations in wireless networks should allow providing the complete coverage for a given set of nodes, taking into account the limitations, such as the number of nodes served per access point or required redundancy. In this paper, we describe the problem of selecting the base stations in a network using the concept of &lt;em&gt;k&lt;/em&gt;-dominating set. In our model, we include information about the required redundancy and spectral efficiency. We consider the additional requirements on the resulting connections and provide the greedy algorithm for solving the problem. The algorithm is evaluated in randomly generated network topologies and using the coordinates of sample real smart metering networks.&lt;/p&gt;&#13;
</style></ABSTRACT><URL><style face="normal" font="default" size="100%">https://arxiv.org/abs/2010.04553</style></URL><title><style face="normal" font="default" size="100%">LP WAN Gateway Location Selection Using Modified K-Dominating Set Algorithm</style></title></RECORD><RECORD><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><REFERENCE_TYPE>0</REFERENCE_TYPE><CONTRIBUTORS><AUTHORS><AUTHOR><style face="normal" font="default" size="100%">Michał Gorawski</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Krzysztof Grochla</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Rafał Marjasz</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Artur Frankiewicz</style></AUTHOR></AUTHORS></CONTRIBUTORS><TITLES><TITLE><style face="normal" font="default" size="100%">Energy Minimization Algorithm for Estimation of Clock Skew and Reception Window Selection in Wireless Networks</style></TITLE></TITLES><KEYWORDS/><DATES/><AUTHORS><style face="normal" font="default" size="100%"/></AUTHORS><YEAR><style face="normal" font="default" size="100%">2021</style></YEAR><SECONDARY_TITLE><style face="normal" font="default" size="100%">Sensors</style></SECONDARY_TITLE><LANGUAGE><style face="normal" font="default" size="100%">eng</style></LANGUAGE><VOLUME><style face="normal" font="default" size="100%">21</style></VOLUME><SECTION><style face="normal" font="default" size="100%">https://www.mdpi.com/</style></SECTION><DATE><style face="normal" font="default" size="100%">01/2021</style></DATE><ABSTRACT><style face="normal" font="default" size="100%">&lt;p&gt;The synchronization of time between devices is one of the more important and challenging problems in wireless networks. We discuss the problem of maximization of the probability of receiving a message from a device using a limited listening time window to minimize energy utilization. We propose a solution to two important problems in wireless networks of battery-powered devices: a method of establishing a connection with a device that has been disconnected from the system for a long time and developed unknown skew and also two approaches to follow-up clock synchronization using the confidence interval method. We start with the analysis of measurements of clock skew. The algorithms are evaluated using extensive simulations and we discuss the selection of parameters balancing between minimizing the energy utilization and maximizing the probability of reception of the message. We show that the selection of a time window of growing size requires less energy to receive a packet than using the same size of time window repeated multiple times. The shifting of reception windows can further decrease the energy cost if lower packet reception probability is acceptable. We also propose and evaluate an algorithm scaling the reception window size to the interval between the packet transmission&lt;/p&gt;&#13;
</style></ABSTRACT><URL><style face="normal" font="default" size="100%">https://www.mdpi.com/1424-8220/21/5/1768</style></URL><title><style face="normal" font="default" size="100%">Energy Minimization Algorithm for Estimation of Clock Skew and Reception Window Selection in Wireless Networks</style></title></RECORD><RECORD><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><REFERENCE_TYPE>31</REFERENCE_TYPE><CONTRIBUTORS><AUTHORS><AUTHOR><style face="normal" font="default" size="100%">Anna Strzoda</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Krzysztof Grochla</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Artur Frankiewicz</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Zbigniew Łaskarzewski</style></AUTHOR></AUTHORS></CONTRIBUTORS><TITLES><TITLE><style face="normal" font="default" size="100%">Measurements and Analysis of Large Scale LoRa Network Efficiency</style></TITLE></TITLES><KEYWORDS/><DATES/><AUTHORS><style face="normal" font="default" size="100%"/></AUTHORS><YEAR><style face="normal" font="default" size="100%">2022</style></YEAR><SECONDARY_TITLE><style face="normal" font="default" size="100%">International Wireless Communications and Mobile Computing Conference, IWCMC </style></SECONDARY_TITLE><PLACE_PUBLISHED><style face="normal" font="default" size="100%">Dubrovnik, Croatia</style></PLACE_PUBLISHED><LANGUAGE><style face="normal" font="default" size="100%">eng</style></LANGUAGE><PUBLISHER><style face="normal" font="default" size="100%">IEEE</style></PUBLISHER><URL><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/9824317</style></URL><title><style face="normal" font="default" size="100%">Measurements and Analysis of Large Scale LoRa Network Efficiency</style></title></RECORD><RECORD><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><REFERENCE_TYPE>31</REFERENCE_TYPE><CONTRIBUTORS><AUTHORS><AUTHOR><style face="normal" font="default" size="100%">Michał Gorawski</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Rafał Marjasz</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Krzysztof Grochla</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Artur Frankiewicz</style></AUTHOR></AUTHORS></CONTRIBUTORS><TITLES><TITLE><style face="normal" font="default" size="100%">Comparative Analysis of Energy Consumption in Simulated LoRa Water Meter Reconfiguration vs. Real-world Readings</style></TITLE></TITLES><KEYWORDS/><DATES/><AUTHORS><style face="normal" font="default" size="100%"/></AUTHORS><YEAR><style face="normal" font="default" size="100%">2024</style></YEAR><SECONDARY_TITLE><style face="normal" font="default" size="100%">IFIP Networking</style></SECONDARY_TITLE><PLACE_PUBLISHED><style face="normal" font="default" size="100%">Thessaloniki</style></PLACE_PUBLISHED><LANGUAGE><style face="normal" font="default" size="100%">eng</style></LANGUAGE><PUBLISHER><style face="normal" font="default" size="100%">IEEE</style></PUBLISHER><DATE><style face="normal" font="default" size="100%">08/2024</style></DATE><ABSTRACT><style face="normal" font="default" size="100%">&lt;p&gt;Detecting water leaks in distribution networks is crucial for conserving resources and preventing infrastructure damage. However, one of the most basic and significant challenges before employing any leak detection method is collecting data from the water distribution network. The sensors used for data collection are usually battery-powered; thus, the energy consumption of these devices is an essential factor. In this paper, we analyze the battery consumption of real devices placed in an operational water distribution network, and based on the obtained data, we perform a series of complex simulations to validate the preliminary assumptions we plan to use in further research of leak detection methods.&lt;/p&gt;&#13;
</style></ABSTRACT><URL><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/10619861</style></URL><title><style face="normal" font="default" size="100%">Comparative Analysis of Energy Consumption in Simulated LoRa Water Meter Reconfiguration vs. Real-world Readings</style></title></RECORD><RECORD><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><REFERENCE_TYPE>0</REFERENCE_TYPE><CONTRIBUTORS><AUTHORS><AUTHOR><style face="normal" font="default" size="100%">Artur Frankiewicz</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Krzysztof Grochla</style></AUTHOR></AUTHORS></CONTRIBUTORS><TITLES><TITLE><style face="normal" font="default" size="100%">Ocena wydajności mechanizmu retransmisji TS011_1. 0.0 w sieciach LoRa WAN</style></TITLE></TITLES><KEYWORDS/><DATES/><AUTHORS><style face="normal" font="default" size="100%"/></AUTHORS><YEAR><style face="normal" font="default" size="100%">2024</style></YEAR><SECONDARY_TITLE><style face="normal" font="default" size="100%">Przegląd Telekomunikacyjny+ Wiadomości Telekomunikacyjne</style></SECONDARY_TITLE><LANGUAGE><style face="normal" font="default" size="100%">eng</style></LANGUAGE><URL><style face="normal" font="default" size="100%">https://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-ca38f38f-5189-4f56-b397-df8beb305838</style></URL><title><style face="normal" font="default" size="100%">Ocena wydajności mechanizmu retransmisji TS011_1. 0.0 w sieciach LoRa WAN</style></title></RECORD><RECORD><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><REFERENCE_TYPE>31</REFERENCE_TYPE><CONTRIBUTORS><AUTHORS><AUTHOR><style face="normal" font="default" size="100%">Artur Frankiewicz</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Krzysztof Grochla</style></AUTHOR></AUTHORS></CONTRIBUTORS><TITLES><TITLE><style face="normal" font="default" size="100%">Using Time Series Analysis to Generate Synthetic Traffic Data for LoRa Network Simulation</style></TITLE></TITLES><KEYWORDS/><DATES/><AUTHORS><style face="normal" font="default" size="100%"/></AUTHORS><YEAR><style face="normal" font="default" size="100%">2026</style></YEAR><SECONDARY_TITLE><style face="normal" font="default" size="100%">PP-RAI 2025 Advances in Artificial Intelligence Research</style></SECONDARY_TITLE><PLACE_PUBLISHED><style face="normal" font="default" size="100%">Cham</style></PLACE_PUBLISHED><LANGUAGE><style face="normal" font="default" size="100%">eng</style></LANGUAGE><PUBLISHER><style face="normal" font="default" size="100%">Springer Nature Switzerland</style></PUBLISHER><DATE><style face="normal" font="default" size="100%">01/2026</style></DATE><ISBN><style face="normal" font="default" size="100%">978-3-032-04197-5</style></ISBN><ABSTRACT><style face="normal" font="default" size="100%">&lt;p&gt;Modelling radio signal attenuation in Low Power Wide Area Networks (LPWANs) is a complex challenge due to the numerous factors influencing signal propagation and attenuation. Recent advancements in artificial intelligence have enabled the use of neural network-based time series analysis to develop radio attenuation models suitable for radio simulators. In this paper, we evaluate the feasibility of such AI-driven models for discrete event simulations. To train and validate these models, we utilize data collected from a large-scale LoRaWAN network that has been operational for over six years. The trained model is then applied to generate synthetic data for radio network simulations. We compare the AI-generated data with conventional distribution-based generators, assessing their effectiveness in modelling real-world events and analysing the statistical distribution of the generated data. Finally, we discuss the benefits and limitations of using AI-based models for simulation purposes. While traditional generators typically produce data distributions that closely mirror real data, AI algorithms are more effective at capturing specific patterns found in actual datasets what is challenging with conventional methods.&lt;/p&gt;&#13;
</style></ABSTRACT><URL><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007/978-3-032-04197-5_16</style></URL><title><style face="normal" font="default" size="100%">Using Time Series Analysis to Generate Synthetic Traffic Data for LoRa Network Simulation</style></title></RECORD></records></xml>
