International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

Current Issues
     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Edge Computing in IoT for Smart Cities

Author(s):

Published:

Volume: 6 | Issue: 4 | Pages: 620-624

Subject: Computer Engineering

Country: United States

DOI: https://doi.org/10.54660/IJMRGE.2025.6.4.620-624

License: CC BY 4.0

Full Text (PDF)

Open Access - Free to Download

Download Full Article (PDF)

Alternative download link

Abstract

As urbanization intensifies globally, nations are increasingly adopting the smart city approach to address the challenges of rising infrastructure demands and sustainability issues. Smart cities, powered by the Internet of Things (IoT), are designed to tackle these challenges by enabling real-time monitoring, digitization, and optimization of urban services. Nonetheless, the centralized cloud computing model often utilized by smart cities has challenges of high latency, bandwidth limitations, and privacy concerns. These challenges have resulted in the consideration of edge computing as the best option, as it enables the processing of data closer to its sources, rather than transferring to centralized platform. This makes decision-making faster while also enhancing security and enabling system resilience.
This article explores the important role of edge computing in IoT-driven smart city development across the globe, evaluating the effectiveness of edge computing in key domains such as smart transportation, energy management, public safety, and waste and water services. The article includes real-world case studies like Barcelona, New York, and Tokyo, analyzing the practical benefits, including reduced congestion, faster grid outage detection, and network traffic optimization the cities have gained from adopting the technology. It also presents the critical challenges such as interoperability, cybersecurity, infrastructure costs, and policy gaps, that are hindering faster adoption.

How to Cite This Article

Srinivasa Kalyan Vangibhurathachhi (2025). Edge Computing in IoT for Smart Cities . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(4), 620-624. DOI: https://doi.org/10.54660/IJMRGE.2025.6.4.620-624

Export Citation:

BibTeX RIS EndNote

References

  1. 1. Addas A, Naseer. Wastemanagement2.0leveraginginternetofthingsforanefficientandeco-friendlysmartcitysolution. PLo SOne.2024;19(7\: e0307608. doi:10.1371/journal. pone.0307608.
  2. 2. Ali Y, Nawaz K. Edge-based Io Tsolutionsforreal-timetrafficandspeedmanagementsystems.2024.
  3. 3. Ali Y, Nawaz K. Edge-based Io Tsolutionsforreal-timetrafficandspeedmanagementsystems.2024.
  4. 4. Asad U, Martin Y. Theroleofedgecomputinginmoderntrafficmanagementandspeeddetection.2024. doi:10.13140/RG.2.2.23474.00961.
  5. 5. Catlett C, Beckman P, Ferrier N, Taylor V, Reed D. Hands-oncomputerscience: thearrayofthingsexperimentalurbaninstrument. Computingin Science&Engineering.2022;24(1\:57-63. doi:10.1109/mcse.2021.3139405.
  6. 6. Catlett CE, Beckman PH, Sankaran R, Galvin KK. Arrayofthings: ascientificresearchinstrumentinthepublicway. Proceedingsofthe2nd International Workshopon Scienceof Smart City Operationsand Platforms Engineering-doi:10.1145/3063386.3063771.
  7. 7. Ferrer J-fortransformation. Field Actions Science Reports. Thejournaloffieldactions.2017; Special Issue16:70-
  8. 5. Availablefrom: https://journals. openedition. org/factsreports/4367.
  9. 8. Gartner. Marketguideforedgecomputinginindustrial Io T.2022.
  10. 9. Geeks. How Io Thardwaredevelopmentcompaniesareenablingsmartcitiesandurbaninnovation.
  11. 2025. Availablefrom: https://vocal. media/geeks/how-io-t-hardware-development-companies-are-enabling-smart-cities-and-urban-
  12. 10. George AS, George AH, Baskar T. Edgecomputingandthefutureofcloudcomputing: asurveyofindustryperspectivesandpredictions. Partners Universal International Research Journal.2023;2(2\:19-44.
  13. 11. Gkonis P, Giannopoulos A, Trakadas P, Masip-Bruin X,-edge-cloudcontinuumsystems: status, challenges, usecases, andopenissues. Future Internet.2023;15(12\:383.
  14. 12. Haseeb K, Din IU, Almogren A, Ahmed I, Guizani M. Intelligentandsecureedge-enabledcomputingmodelforsustainablecitiesusinggreeninternetofthings. Sustainable Citiesand Society.2021;68:102779.
  15. 13. Ilenia Ficili, Giacobbe M, Tricomi G, Puliafito A. Fromsensorstodataintelligence: leveraging Io T, cloud, andedgecomputingwith AI. Sensors.2025;25(6\:1763. doi:10.3390/s25061763.
  16. 14. Kambala G. Edgecomputingfor Io T-drivensmartcities: challengesandopportunitiesinreal-timedataprocessing.2024.
  17. 15. Kashef M, Visvizi A, Troisi O. Smartcityasasmartservicesystem: human-computerinteractionandsmartcitysurveillancesystems. Computersin Human Behavior.2021;124:106923.16. advancedmetropolisthatneversleeps. Engineerine.
  18. 2025. Availablefrom: https://engineerine. com/tokyo-the-worlds-largest-metropolis/.
  19. 17. Mehmood MY, Oad A, Abrar M, Munir HM, Hasan SF, Muqeet HAul, Golilarz NA. Edgecomputingfor Io T-enabledsmartgrid. Securityand Communication Networks.2021;2021:1-16. doi:10.1155/2021/5524025.
  20. 18. Minh QN, Nguyen VH, Quy VK, Ngoc LA, Chehri A, Jeon G. Edgecomputingfor Io T-enabledsmartgrid: thefutureofenergy. Energies.2022;15(17\:6140.
  21. 19. Mishra P, Singh G. Energymanagementsystemsinsustainablesmartcitiesbasedontheinternetofenergy: atechnicalreview. Energies.2023;16(19\:6903.
  22. 20. Naqash MT, Syed TA, Alqahtani SS, Siddiqui MS, Alzahrani A, Nauman M. Ablockchainbasedframeworkforefficientwatermanagementandleakagedetectioninurbanareas. Urban Science.2023;7(4\:99.
  23. 21. Naseem D, Ashrafuzzaman M. Decentralizedtrafficsurveillance: leveragingedgecomputingforspeedmonitoringsystems.2024.
  24. 22. Pandiyan P, Saravanan S, Usha K, Kannadasan R, Alsharif MH, Kim MK. Technologicaladvancementstowardsmartenergymanagementinsmartcities. Energy Reports.2023;10:648-77.
  25. 23. Patnaik S. Cloudandedgecomputingintegrationinsmartcity Io Tsolutions. Smart Internetof Things.2024;1(3\:183-90.
  26. 24. Psico-smart. Theimpactofedgecomputingonrealtimeperformanceevaluationtools. Psico-smart. com.
  27. 2023. Availablefrom: https://psico-smart. com/en/blogs/blog-the-impact-of-edge-computing-on-realtime-performance-evaluation-tools-171358.
  28. 25. Quantum Zeitgeist. Edgecomputingbenefits: edgevscloudcomputing.
  29. 2024. Availablefrom: https://quantumzeitgeist. com/edge-computing-benefits-edge-vs-cloud-
  30. 26. Seidor. Smartcitiesand Io T: howtechnologyistransformingcities. Seidor. com.
  31. 2024. Availablefrom: https://www. seidor. com/en-ke/blog/smart-cities-iot-technology-transforming-
  32. 27. Sharma M, Tomar A, Hazra A. Edgecomputingforindustry5.0: fundamental, applicationsandresearchchallenges. IEEEInternetof Things Journal.2024.
  33. 28. Troisi O, Kashef M, Visvizi A. Managingsafetyandsecurityinthesmartcity: Covid-19, emergenciesandsmartsurveillance. In: Managing Smart Cities: Sustainabilityand Resilience Through Effective Management. Cham: Springer International Publishing;2022. p.73-88.
  34. 29. UNReport. UNreportsaysworldurbanpopulationof3billiontodayexpectedtoreach5billionby
  35. 2030. United Nations: Information Service Vienna.
  36. 2017. Availablefrom: https://unis. unvienna. org/unis/en/pressrels/2004/pop899. html.

Publication Information

Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: 2582-7138 (Online)

Frequency: Bimonthly

Language: English

Open Access: Yes - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

Share This Article: