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Analysis of the time slot length impact of selected data link layer protocols on energy resource consumption in wireless sensor networks
(Lublin University of Technology, 2025-01-01) Dymora, Paweł; Mazurek, Mirosław; Łyczko, Kamil; Hadaš, Zdeněk
The paper analyzes the effect of time slots on the correctness of packet delivery for selected media access conmedium access protocol), and X-MAC protocol (enhanced MAC protocol compared to B-MAC). In the study, reliability, and power consumption were used as indicators of the quality of the protocol variant. The length of the time slot was shown to affect the consumption of energy resources of the nodes. For all network sizes considered, it was shown that the best results were achieved by the L-MAC protocol, which also proved to be the most energyefficient with a low ratio of energy resource consumption. The X-MAC protocol has significant advantages and can be easily implemented on nodes running packet-switched wireless transceivers.
Working on the Structural Components of Evolutionary Approaches
(Science and Technology Publications, Lda, 2024-11-20) Tzanetos, Alexandros; Kůdela, Jakub
Several researchers have turned their attention to the structural components of Evolutionary Computation and Swarm Intelligence-oriented approaches. This direction offers various opportunities, such as developing automatic design and configuration frameworks and integrating operators and mechanisms addressing known limitations. This work lists recent operators and discusses promising mechanisms found in existing atureinspired approaches. It also discusses how these algorithmic components can be integrated into modular frameworks and how they can be assessed and benchmarked. The work aims to emphasize the importance of the research direction about nature-inspired mechanisms and operators in the Evolutionary Computation field.
Dynamic Reduction of Network Flow Optimization Problem: Case of Waste-to-Energy Infrastructure Planning in Czech Republic
(Elsevier, 2024-10-01) Pluskal, Jaroslav; Šomplák, Radovan; Kůdela, Jakub; Eryganov, Ivan
Nowadays, many sophisticated tools based on various mathematical approaches are used to support planning and strategic decision-making. In the field of waste management, allocation and location problems based mainly on the structure network flow problem are used with respect to infrastructure planning. Modern formulations of the problem allow the inclusion of integer and nonlinear constraints that reflect real-world operations. However, despite the advanced computational technology, such real-world problems are difficult to solve in adequate detail due to the large scale of the problem. Thus, the links in the system are simplified, but most often a transport network is aggregated. The individual nodes in the system may then represent areas with tens or hundreds of thousands of inhabitants, which does not provide sufficient insight for location tasks. This paper presents an approach to dynamically reduce the network with respect to selected points of interest. The selected areas are modeled in greater detail, while with increasing distance the entities are more aggregated into larger units. The approach is based on a transformation of the original network and subsequent cluster analysis, preferably using existing transport infrastructure. The presented approach provides the possibility of practical application of complex tools that are currently mostly theoretical due to high computational demands. The methodology is applied to a case study of Waste-to-Energy infrastructure planning, which needs to model a large area to fill a large capacity facility.
Machinability analysis of Albromet W130 copper alloy by WEDM
(Springer, 2024-10-05) Mouralová, Kateřina; Bednář, Josef; Beneš, Libor; Zahradníček, Radim; Fries, Jiří
The unconventional Wire Electrical Discharge Machining (WEDM) technology represents a vital manufacturing technology in different industrial branches, such as aviation, military, automotive or energy industry. The WEDM energy demand is considerable and it is, therefore, desirable to reduce the machining time by optimising the machining parameters. In the study, the chosen parameters were Pulse off time, Gap voltage, Discharge current, Pulse on time, and Wire feed. Another factor we investigated in our Box-Behnken design of experiment was the workpiece thickness. The cutting speed, topography, and surface morphology were analysed in the samples produced for the design of experiment. This investigation was carried out using electron microscopy. The chemical composition of individual spots was analysed as well. The samples were found not to have significant differences in the appearance of craters on the edge and in the centre. Similarly, there was no significant difference observed between thicknesses and different parameter settings. The surfaces also show a large number of small bubbles. There were, however, no cracks or other defects found, even in the cross-sections of all samples.
Social Distancing as p-Dispersion Problem
(IEEE, 2020-08-14) Kůdela, Jakub
The spread of COVID-19 and similar viruses poses new challenges for our society. There is a strong incentive towards safety measures that help to mitigate the outbreaks. Many countries have imposed social distancing measures that require a minimum distance between people in given places, such as schools, restaurants, shops, etc. This in turn creates complications for these places, as their function is to serve as many people as they were originally designed for. In this paper, we pose the problem of using the available space in a given place, such that the social distancing measures are satisfied, as a p-dispersion problem. We use recent algorithmic advancements, that were developed for the p-dispersion problem, and combine them with discretization schemes to find computationally attainable solutions to the p-dispersion problem and investigate the trade-off between the level of discretization and computational efforts on one side, and the value of the optimal solution on the other.

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