QCA: Quantum Computational Approach for Internet of Things with 5G Connectivity

In this paper, the need for a quantum computing approach is analyzed for IoT applications using the 5G resource spectrum. Most of the IoT devices are connected for data transmission to end users with remote monitoring units, but there are no sufficient data storage units, and more data cannot be processed at minimized time periods. Hence, in the proposed method, quantum information processing protocols and quantum algorithms are integrated where data transmissions are maximized. Further, the system model is designed in such a way for checking the external influence factors that prevent the IoT device from transmitting data to end users. Therefore, with corresponding signal and noise power, it is essential to process the transmissions, thereby increasing data proportions at end connectivity. Once quantum computations are performed, then it is crucial to normalize IoT data units, thus establishing control over entire connected nodes that create a gateway for achieving maximum throughput. The combined system model is tested under four cases where the comparative outcomes prove that with reduced queue reductions of 12%, it is possible to achieve a maximum throughput of 99%.

Authors

Institutions

Publication Details

Journal
Information
Published
2024-12-25
DOI
https://doi.org/10.3390/info16010005
Citations
1
Primary Topic
Quantum-Dot Cellular Automata
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

QCA: Quantum Computational Approach for Internet of Things with 5G Connectivity

Adil O. Khadidos, Shitharth Selvarajan, Alaa O. Khadidos, Hariprasath Manoharan
1 citations
Information
Quantum-Dot Cellular Automata
0.36
article

QCA: Quantum Computational Approach for Internet of Things with 5G Connectivity

Adil O. Khadidos, Shitharth Selvarajan, Alaa O. Khadidos, Hariprasath Manoharan
article en
1 citations

Abstract

In this paper, the need for a quantum computing approach is analyzed for IoT applications using the 5G resource spectrum. Most of the IoT devices are connected for data transmission to end users with remote monitoring units, but there are no sufficient data storage units, and more data cannot be processed at minimized time periods. Hence, in the proposed method, quantum information processing protocols and quantum algorithms are integrated where data transmissions are maximized. Further, the system model is designed in such a way for checking the external influence factors that prevent the IoT device from transmitting data to end users. Therefore, with corresponding signal and noise power, it is essential to process the transmissions, thereby increasing data proportions at end connectivity. Once quantum computations are performed, then it is crucial to normalize IoT data units, thus establishing control over entire connected nodes that create a gateway for achieving maximum throughput. The combined system model is tested under four cases where the comparative outcomes prove that with reduced queue reductions of 12%, it is possible to achieve a maximum throughput of 99%.

InformationVol. 16(1)
King Abdulaziz University (SA), Leeds Beckett University (GB)
Openalex Percentile: Top 33%
Quantum-Dot Cellular Automata
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

QCA: Quantum Computational Approach for Internet of Things with 5G Connectivity — Adil O. Khadidos, Shitharth Selvarajan, et al. · Information (2024) | TGRS Research Map | TGRS