Application of Edge Computing for RealTime Data Processing in Smart Cities

Authors

  • Agus Supriyanto Universitas Hasanuddin
  • Joko Santoso Universitas Hasanuddin

DOI:

https://doi.org/10.62951/ijies.v1i2.89

Keywords:

Edge computing, smart cities, realtime processing, urban management, data efficiency

Abstract

Smart cities generate vast amounts of data requiring rapid processing to improve urban management. This study investigates the application of edge computing to achieve realtime data processing in smart cities, minimizing latency and enhancing system responsiveness. Through a combination of theoretical analysis and case studies, the paper examines how edge computing can reduce data transmission delays and network congestion. The results reveal that implementing edge computing can significantly improve data efficiency in smart cities, offering a sustainable solution to meet growing urban demands.

Author Biography

Agus Supriyanto, Universitas Hasanuddin

 

References

Ajuntament de Barcelona. (2020). Smart City Strategy. Retrieved from [Barcelona Smart City](https://smartcity.bcn.cat)

Amsterdam Smart City. (2020). Air Quality Monitoring. Retrieved from [Amsterdam Smart City](https://amsterdamsmartcity.com)

City of San Diego. (2020). Smart Streetlight Program. Retrieved from [San Diego Smart City](https://www.sandiego.gov/smartstreetlights)

CISA. (2021). Cybersecurity Risks in Edge Computing. Retrieved from [CISA](https://www.cisa.gov)

Gartner. (2020). Future of Data Processing. Retrieved from [Gartner](https://www.gartner.com)

Helsinki Regional Transport Authority. (2021). Public Transport Performance Report. Retrieved from [HRT](https://www.hsl.fi)

IDC. (2021). Worldwide Smart Cities Spending Guide. Retrieved from [IDC](https://www.idc.com)

Land Transport Authority of Singapore. (2019). Public Transport Data Analytics. Retrieved from [LTA](https://www.lta.gov.sg)

McKinsey & Company. (2020). Smart Cities: Funding Challenges. Retrieved from [McKinsey](https://www.mckinsey.com)

New York City Department of Information Technology and Telecommunications. (2021). COVID19 Response Technology. Retrieved from [NYC](https://www.nyc.gov)

OpenFog Consortium. (2018). Reference Architecture for Fog Computing. Retrieved from [OpenFog](https://www.openfogconsortium.org)

Shenzhen Municipal Government. (2020). Smart Waste Management Initiative. Retrieved from [Shenzhen](http://www.sz.gov.cn)

Shi, W., et al. (2016). Edge Computing: A New Network Architecture for the Internet of Things. *IEEE Access*, 4, 110. doi:10.1109/ACCESS.2016.2618124

Toronto Hydro. (2020). Smart Grid Initiatives. Retrieved from [Toronto Hydro](https://www.torontohydro.com)

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Published

2024-05-30

How to Cite

Agus Supriyanto, & Joko Santoso. (2024). Application of Edge Computing for RealTime Data Processing in Smart Cities. International Journal of Information Engineering and Science, 1(2), 13–18. https://doi.org/10.62951/ijies.v1i2.89

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