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001-es BibID:	BIBFORM118581
Első szerző:	Filep Levente (PhD. hallgató)
Cím:	Energy Consumption Based Analysis of the Swarm Intelligence Routing Mechanisms in Wireless Sensor Networks / Levente Filep, Peter Polgar, Zoltan Gal
Dátum:	2024
Megjegyzések:	Wireless Sensor Networks (WSNs) featuring autonomous sensors with scalable, self-organizing, and real-time data acquisition capabilities are indispensable for applications demanding efficient and cost-effective solutions. These sensors typically equip a limited and finite energy source; hence, the challenge lies in optimizing energy consumption to extend the operational lifespan of sensors and, thus, the overall WSN. In this paper, we explore eight Swarm Intelligence (SI) algorithms to optimize the power usage of each sensor node. We tested the selected SI algorithms on four different topologies, each with ten test scenarios. We observe that results from some algorithms are highly dependent on the topology, namely the generation method used for MT placement, while others are not. We also introduce the probability of algorithm success (PoAS) metric to better characterize their behavior. Presented results are evaluated and interpreted considering multiple aspects: best result, result scattering, PoAS and execution timing-ratio. Finally, we rank them considering all these aspects.
ISBN:	978-84-09-58219-8
Tárgyszavak:	Műszaki tudományok Informatikai tudományok könyvfejezet könyvrészlet Wireless Sensor Networks Swarm Intelligence SI Algorithm Analysis Probability of Algorithm Success
Megjelenés:	Automation, Robotics & Communications for Industry 4.0/5.0 ARCI' 2024 Conference Proceedings / Sergey Y. Yurish. - p. 249-255. -
További szerzők:	Polgár Péter (1996-) (informatikus) Gál Zoltán (1966-) (informatikus)
Pályázati támogatás:	TKP2021-NKTA-34 Egyéb
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001-es BibID:	BIBFORM087589
035-os BibID:	(Scopus)85090827056
Első szerző:	Gál Zoltán (informatikus)
Cím:	IEEE 802.11n/ac/ax Hot Zone Traffic Evaluation with Neural Compute Stick Based RNN Methods 114-127 / Gál Zoltán, Polgár Péter
Dátum:	2020
ISSN:	1613-0073
Megjegyzések:	The longer than twenty-two-year success marching of the IEEE 802.11 communication technology continues in the next years with new standard editions having transfer rate in the multi Gbit/s range. Realistic evaluation of the WiFi controller supervised hot zone service level becomes more and more critical because of the very high number of frames transmitted per unit of time. Online evaluation of the content transmission efficiency on radio channel is affected by several conditions including environment reflection characteristics, multipath influences, movement behaviour of the users and time dependence of the mobile terminals population in the service area. Based on our anterior investigations we found that in special places of the coverage area with WiFi hot zone service high ratio of transmitted frames are temporarily control and management frames even in case of communications with low level of the radio signals. To scan and evaluate IEEE 802.11/n/ac/ax channel usage efficiency we developed a complex scanner and evaluator tool based on neural network stick hardware. The software prototype developed utilize Long-Short Term Memory and Gated Recurrent Unit functions to determine periodically the percent of data frames of the total transmitted radio frames. Constant number of frames and constant time intervals, respectively are applied as two basic approaches of our evaluation methods. Advantages, weaknesses and usability cases in practice of the proposed solutions will be given in the paper.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok előadáskivonat könyvrészlet Internet of Things (IoT) Wireless Fidelity (WiFi) Hot Zone Quality of Service (QoS) Recurrent Neural Network (RNN) Long-Short Term Memory (LSTM) Gated Recurrent Unit (GRU) Convolutional Network routing clustering time series classification
Megjelenés:	Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020) / ed. Gergely Kovásznai, István Fazekas, Tibor Tómács. - p. 114-127. -
További szerzők:	Polgár Péter (1996-) (informatikus)
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001-es BibID:	BIBFORM094453
035-os BibID:	(WoS)000654007400011 (Scopus)85107458834
Első szerző:	Korteby, Mohamed Amine (informatikus)
Cím:	Multi dimensional analysis of sensor communication processes / Mohmamed Amine Korteby, Zoltán Gál, Péter Polgár
Dátum:	2021
ISSN:	1787-5021 1787-6117
Megjegyzések:	The Internet of Things requires communication mechanism to be optimal not only from the data transfer but from the energy consumption point of view, too. One of the most analyzed types of the sensor network is Low Energy Adaptive Clustering Hierarchy (LEACH) system depending on the population density, algorithm of cluster head election, heterogeneity of the energy and physical position of the nodes, velocity of the sink node, data aggregation rate and size of the data frame. Complexity of the system has been analyzed based on status data series of 360 simulation cases. New family of wireless sensor network (WSN) system is proposed with name CB-LEACH, having better characteristics than the classical LEACH system. The service ability of sensor network and dependency properties was done with analytic technique based on Singular Value Decomposition (SVD). Using this method there were identified most important modes serving as basis to regenerate responses of the studied sensor systems. It was found that the number of significant modes is just six. The novelty of the paper is a proof of concept that SVD is a useful multidimensional tool which can be used for describing the behavior of the newly proposed CB-LEACH family of sensor network mechanisms.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Wireless sensor networks Low Energy Adaptive Clustering Hierrarchy (LEACH) switching cluster classification analysis
Megjelenés:	Annales Mathematicae et Informaticae. - 53 (2021), p. 169-182. -
További szerzők:	Gál Zoltán (1966-) (informatikus) Polgár Péter (1996-) (informatikus)
Pályázati támogatás:	EFOP-3.6.3-VEKOP-16-2017-00002 EFOP
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001-es BibID:	BIBFORM115407
035-os BibID:	(WoS)001104140800012 (Scopus)85176771899
Első szerző:	Polgár Péter (informatikus)
Cím:	Three level benchmarking of Singularity containers for scientific calculations / Péter Polgár, Tamás Menyhárt, Csanád Bátor Baksay, Gergely Kocsis, Tibor Gábor Tajti, Zoltán Gál
Dátum:	2023
ISSN:	1787-5021 1787-6117
Megjegyzések:	In this work we present our results from benchmarking Singularity containers running scientific calculations intended for HPC at three levels of complexity, comparing them against native software environments. Our investigations were run on up-to-date hardware and the latest available software as of early 2023. To get a more detailed picture, we examined three different system aspects: we ran separate benchmarks on CPU, memory, and I/O intensive operations. These aspects were tested with microbenchmarks, and at a high level - an HPC workload pipeline which intensely loaded each aspect. As a result of our investigations we show that Singularity containerization continues to provide as good, or in some cases even better performance indicators as in a native environment - with the substantial added benefits of application flexibility and portability.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Containerbenchmarking Singularity HPC
Megjelenés:	Annales Mathematicae et Informaticae. - 58 (2023), p. 133-146. -
További szerzők:	Menyhárt Tamás (2003-) (programtervező informatikus) Baksay Csanád Bátor (1996-) (programtervező informatikus) Kocsis Gergely (1983-) (programtervező matematikus) Tajti Tibor Gábor (1970-) (informatikus) Gál Zoltán (1966-) (informatikus)
Pályázati támogatás:	TKP2021-NKTA-34 Egyéb
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