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001-es BibID:BIBFORM104856
035-os BibID:(Scopus)85140962589
Első szerző:Korteby, Mohamed Amine (informatikus)
Cím:Fractals and Wavelets Based Energy Analysis of Cost-Balanced LEACH Sensor Network / Mohamed Amine Korteby, Djamila Talbi, Zoltan Gal
Dátum:2022
Megjegyzések:Wireless Sensor Networks (WSNs) have made significant strides in recent years owing to their growth in terms of equipment and cost reduction. Several protocols have been designed, based on the application and network architecture. The LEACH (Low Energy Adaptive Clustering Hierarchy) mechanism is one of the most energy-efficient solutions in WSN environments. This hierarchical protocol aggregates and forwards data from cluster members to a fixed sink node using the cluster head feature of the nodes. We propose a new family of routing mechanisms called CB- LEACH by introducing movement possibility to the sink node and balancing the cluster head election decision based on the distances between the nodes and on the remaining energy of the potential cluster head candidates. We introduced the Hausdorff dimension, memory exponent, and common metric of fractality metrics to characterize the new routing mechanism. It is proven that these metrics can highlight the most important features of the newly proposed CB-LEACH system.
ISBN:9781665496537 9781665496520
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
IoT
Low Energy Adaptive Clustering Hierarchy
fractal
wavelet
Hausdorf dimension
Megjelenés:2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / ed. Fazekas István. - p. 116-121. -
További szerzők:Talbi, Djamila (1999-) (mérnök informatikus) Gál Zoltán (1966-) (informatikus)
Pályázati támogatás:TKP2021-NKTA
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Internet cím:DOI
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2.

001-es BibID:BIBFORM104896
035-os BibID:(Scopus)85140969123
Első szerző:Talbi, Djamila (mérnök informatikus)
Cím:Neural Network Based Analysis of Terahertz Frequency Signal Propagation for B5G/6G Wireless Networks / Djamila Talbi, Mohamed Amine Korteby, Zoltan Gal
Dátum:2022
Megjegyzések:Pico-cell based very high-speed wireless technologies require new medium access control mechanisms to provide top efficiency in the control plane. Beyond 5G and 6G wireless services are studied currently with synthetic data generated with special simulators. In this paper we used NS3 TeraSim tool to evaluate upload communication cases from mobile terminals to unique base station in different population and topology scenarios during 10 ms simulated time interval. Fractal based wavelet analysis is used to extract features of channel access in different simulation cases and classify them with recurrent neural network. The methodology utilized performs stable and unstable phases of the new IEEE pre-standard mechanism called Adaptive Directional Antenna Protocol for THz.
ISBN:9781665496537 9781665496520
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
B5G
6G
synthetic data
wavelet
fractal
medium access control
Adaptive Directional Antenna Protocol for THz
recurrent neural network
Long-Short Term Memory
Megjelenés:2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / ed. Fazekas István. - p. 196-201. -
További szerzők:Korteby, Mohamed Amine (1990-) (informatikus) Gál Zoltán (1966-) (informatikus)
Pályázati támogatás:TKP2021-NKTA
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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