<?xml version="1.0" encoding="UTF-8"?>
<xml><records><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pawel Foremski</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</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%">Source Model of TCP Traffic in LTE Networks</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Information Sciences and Systems 2014</style></secondary-title><abstract><style face="normal" font="default" size="100%">We propose a generator that represents traffic transmitted in wireless mobile networks. It is based on the measurements of traffic in large scale LTE networks. The proposed tool generates TCP flow sizes and duration. We verify the proposed generator by comparison with traces available in the literature and propose application in discrete event simulators.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pawel Foremski</style></author><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%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular Networks</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style face="normal" font="default" size="100%">9</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Sensors</style></secondary-title><volume><style face="normal" font="default" size="100%">15</style></volume><number><style face="normal" font="default" size="100%">9</style></number><abstract><style face="normal" font="default" size="100%">The paper presents a practical application of the crowdsensing idea to measure human mobility and signal coverage in cellular networks. Currently, virtually everyone is carrying a mobile phone, which may be used as a sensor to gather research data by measuring, e.g., human mobility and radio signal levels. However, many users are unwilling to participate in crowdsensing experiments. This work begins with the analysis of the barriers for engaging people in crowdsensing. A survey showed that people who agree to participate in crowdsensing expect a minimum impact on their battery lifetime and phone usage habits. To address these requirements, this paper proposes an application for measuring the location and signal strength data based on energy-efficient GPS tracking, which allows one to perform the measurements of human mobility and radio signal levels with minimum energy utilization and without any engagement of the user. The method described combines measurements from the accelerometer with effective management of the GPS to monitor the user mobility with the decrease in battery lifetime by approximately 20%. To show the applicability of the proposed platform, the sample results of signal level distribution and coverage maps gathered for an LTE network and representing human mobility are shown.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Leszek Borzemski</style></author><author><style face="normal" font="default" size="100%">Adam Grzech</style></author><author><style face="normal" font="default" size="100%">Jerzy Świątek</style></author><author><style face="normal" font="default" size="100%">Zofia Wilimowska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Intelligent Information Systems, Knowledge Discovery, Big Data and High Performance Computing</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Information Systems Architecture and Technology</style></secondary-title><section><style face="normal" font="default" size="100%">Load Balancing in Data Warehouse – Evolution and Perspectives</style></section><isbn><style face="normal" font="default" size="100%">ISBN 978-83-7493-800</style></isbn><publisher><style face="normal" font="default" size="100%">Oficyna Wydawnicza Politechniki Wrocławskiej</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marcin Gorawski</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Stanisław Dyduch</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Use of grammars and machine learning in ETL systems that control load balancing process</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year></dates><secondary-title><style face="normal" font="default" size="100%">15th IEEE International Conference on High Performance Computing and Communications. HPCC 2013</style></secondary-title><pages><style face="normal" font="default" size="100%">1709–1714</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-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></authors></contributors><titles><title><style face="normal" font="default" size="100%">Review of mobility models for performance evaluation of wireless networks</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Advance in Intelligent Systems and Computing</style></secondary-title><pages><style face="normal" font="default" size="100%">567–577</style></pages><volume><style face="normal" font="default" size="100%">242</style></volume><abstract><style face="normal" font="default" size="100%">Performance evaluation of protocols and mechanisms in wireless networks require a good representation of client mobility. The number of mobility models has been developed, to emulate the changes of location in time of mobile wireless devices in communication networks, such as e.g. mobile phones, tablets, netbooks, palmtops.Mobility models are used to verify the protocols and algorithms developed for wireless networks in simulation and using analytical tools. The mobility patterns of such devices converges with human movement patterns, as the mobile devices bearers. Among many propositions of human mobility modeling in the literature this paper presents and reviews techniques which are most commonly used or that give very good estimation of actual mobile device bearer behavior. The models are divided into 3 groups: random, social and hybrid.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">ICMMI 2013 International Conference on Man-Machine Interactions Brenna, October 22-25, 2013</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-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></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Real-Life Mobility Model: RLMM</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year></dates><abstract><style face="normal" font="default" size="100%">The performance evaluation of mobile wireless networks requires a representation of user mobility. Mobility models are the essential part of such evaluation because they assure examples of mobile nodes movement for typical scenarios. Mobility models provide synthetic traces adjusted to user’s needs. We propose a novel RLMM model that produces synthetic traces of a working human and includes clear division on working days and weekend activities. We describe the model and evaluate it using simulation. The model provides better representation of changes in human behavior on different days than the models available in the literature.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marcin Gorawski</style></author><author><style face="normal" font="default" size="100%">Damian Lis</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of a Cloud Computing and the CUDA architecture in zero-latency Data Warehouses Computer Networks</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Communications in Computer and Information Science</style></secondary-title><pages><style face="normal" font="default" size="100%">312–322</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marcin Gorawski</style></author><author><style face="normal" font="default" size="100%">Paweł Marks</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modeling Data Stream Intensity in Distributed Stream Processing System, Computer Networks</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Communications in Computer and Information Science Volume</style></secondary-title><pages><style face="normal" font="default" size="100%">372–383</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><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%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison of Measurements and Simulation Model of Indoor Signal Level Variation in LTE Networks</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 8th International Conference on Simulation Tools and Techniques</style></secondary-title><urls><style face="normal" font="default" size="100%">http://dx.doi.org/10.4108/eai.24-8-2015.2261125</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.4108/eai.24-8-2015.2261125</style></electronic-resource-num><isbn><style face="normal" font="default" size="100%">978-1-63190-079-2</style></isbn><publisher><style face="normal" font="default" size="100%">ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)</style></publisher><pub-location><style face="normal" font="default" size="100%">ICST, Brussels, Belgium, Belgium</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-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%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">{Variability of LTE Signal in Indoor Environment}</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Internet in the Information Society, X Scientific Conference</style></secondary-title><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Francisco Barcelo-Arroyo</style></author><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%">Israel Martín-Escalona</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Andrea Ribeiro</style></author><author><style face="normal" font="default" size="100%">Rute Sofia</style></author><author><style face="normal" font="default" size="100%">Enrica Zola</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">New Trends in Mobility Modelling and Handover Prediction</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Wireless Networking for Moving Objects</style></secondary-title><pages><style face="normal" font="default" size="100%">88–114</style></pages><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marcin Gorawski</style></author><author><style face="normal" font="default" size="100%">Mirosław Skrzewsk</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Anna Gorawska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Neural networks in petrol station objects calibration</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year></dates><secondary-title><style face="normal" font="default" size="100%">International Conference on Algorithms and Architectures for Parallel Processing</style></secondary-title><pages><style face="normal" font="default" size="100%">714-723</style></pages><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-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></authors></contributors><titles><title><style face="normal" font="default" size="100%">LTE Load Balancing with Tx Power Adjustment and the Real Life Mobility Model</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2018</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Computer Networks</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The load balancing in the LTE and LTE-A networks allows usage of the radio resources more effectively to improve client satisfaction. The paper provides analysis of the influence of complex user mobility patterns on the load balancing algorithm. The simulation models are used to evaluate the number of unsatisfied clients depending on the mobility model used. Two mobility models are used: RLMM and Random Waypoint. The Tx Power Adjustment method is evaluated, which is based on reconfiguration of a LTE eNodeB TX Power and was proposed by authors in their previous papers. Method proved to be effective and fairly easy in implementation, and the evaluation through series of simulation shown up to 50{%} rise in clients satisfaction with upholding the total network efficiency.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-319-92459-5</style></isbn><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>13</ref-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><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">06/2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">International Conference on Computer Networks</style></secondary-title><pages><style face="normal" font="default" size="100%">233-241</style></pages><volume><style face="normal" font="default" size="100%">International Conference on Computer Networks</style></volume><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-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></authors></contributors><titles><title><style face="normal" font="default" size="100%">Performance Tests of Smart City IoT Data Repositories for Universal Linear Infrastructure Data and Graph Databases</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2020</style></year></dates><secondary-title><style face="normal" font="default" size="100%">SN Computer Science</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1007/s42979-019-0031-y</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">31</style></pages><volume><style face="normal" font="default" size="100%">1</style></volume><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-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></authors></contributors><titles><title><style face="normal" font="default" size="100%">"Graph Representation of Linear Infrastructure in Smart City IoT Systems</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">10.2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) </style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The cities infrastructure is being populated with a large number of Internet-connected devices used for monitoring and management to create a Smart City system. A large part of the city infrastructure has linear form, such as e.g. roads, energy or water distribution networks. In this paper, we present a solution for representation, processing and providing to external IT systems the data related to linear infrastructure. We present the idea of representation of such networks in a form of a multigraph that is stored in graph database and the graph generator which merges the data gathered from monitoring devices with network topology and other representative structures. We propose the architecture of a sample linear infrastructure management system based on multi-graph representation and discuss how it proposes a performance evaluation method based on data generation on the example of a district heating system.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-1-7281-5763-4</style></isbn><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Dublin, Ireland</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-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><year><style face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style face="normal" font="default" size="100%">01/2021</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Sensors</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/1424-8220/21/5/1768</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.3390/s21051768</style></electronic-resource-num><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><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><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Load Balancing and Processing Data From Internet of Things Smart Devices</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2017</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Studia Informatica</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.21936/SI2017_V38.N4.822</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">5-18</style></pages><volume><style face="normal" font="default" size="100%">38</style></volume><number><style face="normal" font="default" size="100%">4</style></number><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The evolution of Internet of Things and Information and Communication Technology is determined by systems’ ability to efficiently store and process massive amount of data connected with rapid flow of information. The smart devices creating Internet of Things produce massive amount of data, and while smart devices are independent, data analyst needs an effective mechanism to collect all these data, aggregate them and analyse. In this paper author presents Distributed Spatio- Temporal Data Warehouse systems as a platform to collect and analyse Internet of Things data such as smart sensor data and mobility data&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Localization of mobile nodes in graphs using the True-range multilateration with node sorting (TriSort) approach in an indoor environment</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style face="normal" font="default" size="100%">03/2023</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">24th IEEE International Conferences on High Performance Computing and Communications - HPCC-2022</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/10074642</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00153</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;pre&gt;&#13;
Mobile device localization is still an actual research problem. In many cases, we have a lack in all the positions but there is enough data to calculate position with the use of the multilateration. Our research proves that the order in which we calculate the positions with multilateration matters. We consider a network with mobile and stationary devices which are represented in the form of a graph with calculated distances as edges. Our contribution to solving the problem of indoor localization is true-range multilateration with a node sorting approach (TriSort). We based our research on an existing problem of smartphone localization in an enclosed indoor space using the BLE connection. The proposed algorithm is evaluated in a simulator. The distances are calculated using the BLE signal level estimation. We use the Genetic Algorithm commonly used for such problems to assess our TriSort approach. We compare the results of both methods according to obtained errors and their processing times, showing that the proposed TriSort method provides a minimal decrease in accuracy compared to global optimization (below 14%), with almost four orders of magnitudes lower complexity.&lt;/pre&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Hainan, China</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marcin Gorawski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Pasterak</style></author><author><style face="normal" font="default" size="100%">Anna Gorawska</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The stream data warehouse: Page replacement algorithms and quality of service metrics</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2023</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Future Generation Computer Systems</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S0167739X23000031</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.future.2023.01.003</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The stream data warehouse is an answer to the rapidly changing world of data analysis, which demands reliable and up-to-date results, obtained in a near real-time manner. Therefore it is a subject of recent research involving such areas as continuous updates and low-latency response, for example. In this paper, we study the stream adaptation of the OLAP cube and, in particular – its memory paging mechanism. It is driven by the page replacement algorithm, which manages the efficient data transfer and thus supplies users with constantly updatable data cubes. The following paper introduces an entirely novel approach to this topic. By perceiving the page replacement process as a multi-objective optimization problem, we propose three new algorithms that constantly analyze their varying environment and adapt to those changes by adjusting their behavior. Moreover, they consider user-provided constraints, which impose maximal values of specific parameters that cannot be exceeded. In addition to the page replacement algorithms, we propose two distinct quality of service metrics that measure the overall efficiency of data transfer inside the stream data warehouse. In order to verify and compare the new algorithms with their older counterparts, a series of experiments were conducted. Their results have confirmed that the proposed algorithms meet their requirements and visibly outperform the original solutions. The average wait time decreased between 25% and 66% (from 1.3x to 3.0x respectively, depending on the chosen algorithm), whereas the peak wait time decreased by approximately 99% (between 100x and 190x respectively).&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sławomir Nowak</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Mariusz Słabicki</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient Universal Indoor Multicharacteristic Propagation model for indoor environments</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style face="normal" font="default" size="100%">07/2023</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">2023 International Wireless Communications and Mobile Computing (IWCMC)</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/10183073</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">doi: 10.1109/IWCMC58020.2023.10183073.</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">1052-1058</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Accurate indoor radio propagation modelling is a well-known problem that researchers tend to solve in many ways. Related methods differ in terms of accuracy and complexity. The article’s contribution is a new stochastic propagation model, Universal Indoor Multicharacteristic Propagation (UIMP), which results are statistically consistent with those measured in a real environment. The model could be used to verify real- world applications due to the low computational complexity and high accuracy level compared to state-of-the-art methods. This method can be especially beneficial for the efficient modelling of complex environments shared by many users using discrete events simulations (DES) based on a series of measurements in a real environment. In the article, we describe the method and present how to establish the model. The motivation was to develop an efficient method for use in an actual application: using the Bluetooth Low Energy (BLE) signal to estimate the position of users in indoor environments – the use of the proposed UIMP model allowed for a reliable assessment of the developed functionalities. Therefore we also present how the model was used to evaluate an example, real functionality, showing that the use of simplified models may falsify the assessment of the analyzed method and may lead e.g. to incorrect implementation assumptions.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Marrakesh, Morocco</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>13</ref-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><year><style face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style face="normal" font="default" size="100%">08/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">IFIP Networking</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/10619861</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.23919/IFIPNetworking62109.2024.10619861</style></electronic-resource-num><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><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Thessaloniki</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michał Cholewa</style></author><author><style face="normal" font="default" size="100%">Michał Romaszewski</style></author><author><style face="normal" font="default" size="100%">Przemysław Głomb</style></author><author><style face="normal" font="default" size="100%">Katarzyna Kołodziej</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Jakub Koral</style></author><author><style face="normal" font="default" size="100%">Wojciech Koral</style></author><author><style face="normal" font="default" size="100%">Andrzej Madej</style></author><author><style face="normal" font="default" size="100%">Kryspin Musioł</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">‘Just One More Sensor is Enough’ – Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style face="normal" font="default" size="100%">06/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">IEEE Sensors Journal</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/JSEN.2024.3413889</style></electronic-resource-num><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-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></authors></contributors><titles><title><style face="normal" font="default" size="100%">Performance evaluation of the secure multi-tenancy system for smart city IoT environment using open LDAP and Apache Kafka.</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style face="normal" font="default" size="100%">06/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">22nd International Industrial Simulation Conference</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Supporting multiple users and operators in a single IoT system is vital for large-scale commercial deployments. This involves servicing numerous network operators with one IT system and set of devices, ensuring each operator can manage, reconfigure, and change device settings securely. This paper evaluates a multi-tenancy solution in our test system (TS), utilizing Apache Kafka as a message broker and OpenLDAP as an authorizer. It describes the system design, methods to ensure data separation, security and results of performance evaluation in simulation.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-9-492859-30-3</style></isbn><publisher><style face="normal" font="default" size="100%">EUROSIS-ETI</style></publisher><pub-location><style face="normal" font="default" size="100%">Valencia, Spain</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>
