Assessment on economic power management for smart city through IoT sensor model
Despite not being uniform, urban economic growth usually shows some inconsistency. Urban sustainable development may be harmed if the financial instability goes above a particular threshold. This article examines the current status of India's macro-economic real-time management of early warning...
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Format: | Article |
Language: | English |
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Elsevier
2022-12-01
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Series: | Measurement: Sensors |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917422001490 |
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author | Bhola Khan Kirubadevi S Swathi Agarwal Prasad M Bhaskar Thupakula M. Raja Ambethkar |
author_facet | Bhola Khan Kirubadevi S Swathi Agarwal Prasad M Bhaskar Thupakula M. Raja Ambethkar |
author_sort | Bhola Khan |
collection | DOAJ |
description | Despite not being uniform, urban economic growth usually shows some inconsistency. Urban sustainable development may be harmed if the financial instability goes above a particular threshold. This article examines the current status of India's macro-economic real-time management of early warning alert systems and information warehouse-related innovations. In order to deal with the significant loss caused by the increased variation of an urban economy, it analyzes and explicates the position of Internet of Things (IoT) technology in the macro-economic alert system. This reviews the development path of financial monitoring and early alerting system whichsorts out and compares numerous popular economic monitoring techniques.Depending on IoT technology, the urban economic reports surveillance & advance warning system has conducted research on information transfer, tracking, forecasts, analysis, and presentation. After simulating the system, the proposed research's findings indicate that the overall accuracy of the model's macroeconomic fluctuation forecast approaches 80%, which may be used in real life. |
first_indexed | 2024-04-13T18:30:05Z |
format | Article |
id | doaj.art-10232ca20efc486c8c47a3aaabc20f45 |
institution | Directory Open Access Journal |
issn | 2665-9174 |
language | English |
last_indexed | 2024-04-13T18:30:05Z |
publishDate | 2022-12-01 |
publisher | Elsevier |
record_format | Article |
series | Measurement: Sensors |
spelling | doaj.art-10232ca20efc486c8c47a3aaabc20f452022-12-22T02:35:07ZengElsevierMeasurement: Sensors2665-91742022-12-0124100515Assessment on economic power management for smart city through IoT sensor modelBhola Khan0Kirubadevi S1Swathi Agarwal2Prasad M3Bhaskar Thupakula4M. Raja Ambethkar5Department of Economics, Yobe State University, Nigeria; Corresponding author.Department of Electrical and Electronics Engg,University College of Engineering, Dindigul, 624622, Tamilnadu, IndiaDepartment of IT, CVR College of Engineering, Mangalpalli, Ibrahimpatnam, Telangana, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Chennai Campus, Chennai, TamilNadu, 600127, IndiaDepartment of Computer Engineering, Sanjivani College of Engineering Kopargaon, Tal.Kopargaon, 423 603, Ahmednagar, Maharashtra, IndiaDepartment of Engineering English, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522302, Andhra Pradesh State, IndiaDespite not being uniform, urban economic growth usually shows some inconsistency. Urban sustainable development may be harmed if the financial instability goes above a particular threshold. This article examines the current status of India's macro-economic real-time management of early warning alert systems and information warehouse-related innovations. In order to deal with the significant loss caused by the increased variation of an urban economy, it analyzes and explicates the position of Internet of Things (IoT) technology in the macro-economic alert system. This reviews the development path of financial monitoring and early alerting system whichsorts out and compares numerous popular economic monitoring techniques.Depending on IoT technology, the urban economic reports surveillance & advance warning system has conducted research on information transfer, tracking, forecasts, analysis, and presentation. After simulating the system, the proposed research's findings indicate that the overall accuracy of the model's macroeconomic fluctuation forecast approaches 80%, which may be used in real life.http://www.sciencedirect.com/science/article/pii/S2665917422001490IoTSensorEconomic developmentWarning modelSimulation |
spellingShingle | Bhola Khan Kirubadevi S Swathi Agarwal Prasad M Bhaskar Thupakula M. Raja Ambethkar Assessment on economic power management for smart city through IoT sensor model Measurement: Sensors IoT Sensor Economic development Warning model Simulation |
title | Assessment on economic power management for smart city through IoT sensor model |
title_full | Assessment on economic power management for smart city through IoT sensor model |
title_fullStr | Assessment on economic power management for smart city through IoT sensor model |
title_full_unstemmed | Assessment on economic power management for smart city through IoT sensor model |
title_short | Assessment on economic power management for smart city through IoT sensor model |
title_sort | assessment on economic power management for smart city through iot sensor model |
topic | IoT Sensor Economic development Warning model Simulation |
url | http://www.sciencedirect.com/science/article/pii/S2665917422001490 |
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