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001-es BibID:BIBFORM114031
035-os BibID:(MTMT azonosító)34107845
Első szerző:Korteby, Mohamed Amine (informatikus)
Cím:Effect of the Modulation on the Cluster Head Election in Cost Balanced LEACH / Amine Korteby, Djamila Talbi, Zoltan Gal
Dátum:2023
ISSN:1792-460X
Megjegyzések:Wireless Sensor Networks (WSNs) have made significant progress in recent years due to advancements in hardware and reduced costs. Based on the application and network architecture, several protocols have been created. One of the most energy-efficient solutions in WSN environments is the LEACH (Low Energy Adaptive Clustering Hierarchy) mechanism. Using the cluster head feature of the nodes, this hierarchical protocol aggregates and forwards data from cluster members to a fixed sink node. By introducing motion capability to the sink node and balancing the cluster head election decision based on the distances between the nodes and the remaining energy of the potential cluster head candidates, we propose a new family of routing mechanisms called Cost Balanced LEACH (CB-LEACH). In this research work we modulate the balance factor alfa conform to different rules and we analyzed the behavior of the system and its most important features.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idézhető absztrakt
folyóiratcikk
Low-energy adaptive clustering hierarchy (LEACH)
Coast Balanced LEACH (CB-LEACH)
Wireless Sensor Network (WSN)
routing
clustering
energy consumption
mobility
uniform energy consumption
modulation
Megjelenés:International Conference on Applied Informatics - Abstracts. - 12 (2023), p. 1-3. -
További szerzők:Talbi, Djamila (1999-) (mérnök informatikus) Gál Zoltán (1966-) (informatikus)
Pályázati támogatás:TKP2021-NKTA
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001-es BibID:BIBFORM114061
035-os BibID:(MTMT azonosító)34107972
Első szerző:Talbi, Djamila (mérnök informatikus)
Cím:Decomposition Based Congestion Analysis of the Communication in B5G/6G TeraHertz High-Speed Networks / Djamila Talbi, Amine Korteby, Zoltan Gal
Dátum:2023
Megjegyzések:The New MAC mechanism plays a key role in achieving the needed requirements of the B5G/6G radio technology and helps to avoid high-speed frequency issues and limitations. With the help of ns-3 simulator, we generated 42 different cases for the purpose of analysing the impact of the network load on the overall effective transmission rate. Therefore, the use of the data-adaptive decomposition method the Empirical Mode Decomposition (EMD) on our non-stationary system benefit in the extraction of the important meaningful components. However, due to the highlighted direction dependency finding of EMD, Ensembled EMD (EEMD) being direction independent shows better performance on our data series. DBscan and k-Mean unsupervised learning-based clusterization methods were executed to find the right number of classes of the radio channel throughput features.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idézhető absztrakt
folyóiratcikk
B5G
6G
Empirical Mode Decomposition (EMD)
Ensembled EMD (EEMD)
DBScan
k-Mean
unsupervised learning
clusterization
Megjelenés:The 12th International Conference on Applied Informatics - Abstracts. - 12 (2023), p. 1-3. -
További szerzők:Korteby, Mohamed Amine (1990-) (informatikus) Gál Zoltán (1966-) (informatikus)
Pályázati támogatás:TKP2021-NKTA
Egyéb
Internet cím:Szerző által megadott URL
Intézményi repozitóriumban (DEA) tárolt változat
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