Smart City Gnosys
Smart city article details
| Title | Iot Enabled Human-Machine Systems For Smart City Infrastructure - Present Scenario And Challenges |
|---|---|
| ID_Doc | 33794 |
| Authors | Sharma, DK; Garg, L |
| Year | 2025 |
| Published | INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS |
| DOI | http://dx.doi.org/10.1108/IJWIS-12-2024-0384 |
| Abstract | PurposeThis study aims to look at how important the Internet of Things (IoT) is to creating smart cities. It emphasizes how IoT technologies maximize the use of resources, improve public services and raise the standard of living for citizens. Furthermore, it investigates how IoT may support sustainability while addressing important urban issues including energy use, transportation congestion and public safety.Design/methodology/approachThis study explores the IoTs' architecture, uses and difficulties in smart cities. The study highlights the use of data analytics techniques to enable the integration of connected devices with cutting-edge technology to address problems like scalability, security and data overload. Particularly in relation to IoT-enabled smart city infrastructure and services, the function of data analytics in converting unprocessed IoT data into useful insights is being explored.FindingsThe report emphasizes how IoT is essential to building smart cities because it promotes efficiency, adaptability and urban environments that are focused on the needs of their citizens. Real-time interaction, optimizing resources and urban oversight are all enhanced by IoT-enabled smart city systems. Real-time data gathering, analysis and visualization are made possible by Web platforms, portals and applications, which are essential for integrating IoT data for smart city management. Key urban indicators like traffic flow, quality of air and energy usage can be tracked by municipal authorities using interactive interfaces offered by Web-based IoT dashboards. Urban management is improved by real-time online monitoring systems, which track smart city infrastructure continually and optimize waste collection, traffic lights and public safety responses. Furthermore, large-scale data processing, storage and predictive analytics are made possible by cloud-based Web services like Microsoft Azure IoT and AWS IoT, which guarantee effective resource allocation and decision-making. Smart cities may develop data-driven, adaptable urban settings, increase citizen services and increase sustainability by using these technologies.Originality/valueThe study thoroughly examines how IoT affects smart cities, highlighting how it can address urban issues while promoting sustainability. IoT and modern data analytics together reveal ideas that improve cities' responsiveness to citizen demands, efficiency and flexibility. This study contributes by providing information on cutting-edge strategies that aid in the creation of robust and citizen-focused smart urban infrastructures. |
| Author Keywords | IoT; Human-machine systems; Smart city infrastructure; WSN |
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