01687nas a2200133   4500000000100000008004100001260004700042100002200089700002200111245009600133856006700229520123500296020002201531       2026                            d  c01/2026bSpringer Nature SwitzerlandaCham1 aArtur Frankiewicz1 aKrzysztof Grochla00aUsing Time Series Analysis to Generate Synthetic Traffic Data for LoRa Network Simulation  uhttps://link.springer.com/chapter/10.1007/978-3-032-04197-5_163 aModelling 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.  a978-3-032-04197-501185nas a2200145   4500000000100000008004100001260003200042100002100074700001900095700002200114700002200136245011700158856005000275520071400325       2024                            d  c08/2024bIEEEaThessaloniki1 aMichał Gorawski1 aRafał Marjasz1 aKrzysztof Grochla1 aArtur Frankiewicz00aComparative Analysis of Energy Consumption in Simulated LoRa Water Meter Reconfiguration vs. Real-world Readings  uhttps://ieeexplore.ieee.org/document/106198613 aDetecting 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.00369nas a2200097   4500000000100000008004100001100002200042700002200064245007900086856010600165       2024                            d1 aArtur Frankiewicz1 aKrzysztof Grochla00aOcena wydajności mechanizmu retransmisji TS011_1. 0.0 w sieciach LoRa WAN  uhttps://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-ca38f38f-5189-4f56-b397-df8beb30583800411nas a2200133   4500000000100000008004100001260002900042100001700071700002200088700002200110700002700132245006900159856004900228       2022                            d  bIEEEaDubrovnik, Croatia1 aAnna Strzoda1 aKrzysztof Grochla1 aArtur Frankiewicz1 aZbigniew Łaskarzewski00aMeasurements and Analysis of Large Scale LoRa Network Efficiency  uhttps://ieeexplore.ieee.org/document/982431701768nas a2200157   4500000000100000008004100001260001200042100002100054700002200075700001900097700002200116245011500138856004500253490000700298520130500305       2021                            d  c01/20211 aMichał Gorawski1 aKrzysztof Grochla1 aRafał Marjasz1 aArtur Frankiewicz00aEnergy Minimization Algorithm for Estimation of Clock Skew and Reception Window Selection in Wireless Networks  uhttps://www.mdpi.com/1424-8220/21/5/17680 v213 aThe 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 transmission01405nas a2200193   4500000000100000008004100001260002200042100002200064700001400086700002200100700002700122700002200149700001800171700002500189700001700214245008000231856003700311520086300348       2020                            d  c01/2021bSpringer1 aArtur Frankiewicz1 aAdam Glos1 aKrzysztof Grochla1 aZbigniew Łaskarzewski1 aJaroslaw Miszczak1 aKonrad Połys1 aPrzemysław Sadowski1 aAnna Strzoda00aLP WAN Gateway Location Selection Using Modified K-Dominating Set Algorithm  uhttps://arxiv.org/abs/2010.045533 aThe LP WAN networks use gateways or base stations to communicate with devices distributed on large distances, up 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 k-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.00418nas a2200145   4500000000100000008004100001260002200042100001800064700002200082700002100104700002200125245006300147300001200210490005000222       2019                            d  c06/2019bSpringer1 aKonrad Połys1 aKrzysztof Grochla1 aMichał Gorawski1 aArtur Frankiewicz00aAccuracy of UWB Location Tracking Devices When on the Move  a233-2410 vInternational Conference on Computer Networks