Skip to main content

Advertisement

Springer Nature Link
Log in

Smart city information processing under internet of things and cloud computing

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

This study is to explore the smart city information (SCI) processing technology based on the Internet of Things (IoT) and cloud computing, promoting the construction of smart cities in the direction of effective sharing and interconnection. In this study, a SCI system is constructed based on the information islands in the smart construction of various fields in smart cities. The smart environment monitoring, smart transportation, and smart epidemic prevention at the application layer of the SCI system are designed separately. A multi-objective optimization algorithm for cloud computing virtual machine resource allocation method (CC-VMRA method) is proposed, and the application of the IoT and cloud computing technology in the smart city information system is further analysed and simulated for the performance verification. The results show that the multi-objective optimization algorithm in the CC-VMRA method can greatly reduce the number of physical servers in the SCI system (less than 20), and the variance is not higher than 0.0024, which can enable the server cluster to achieve better load balancing effects. In addition, the packet loss rate of the Zigbee protocol used by the IoT gateway in the SCI system is far below the 0.1% indicator, and the delay is less than 10 ms. Therefore, the SCI system constructed by this study shows low latency and high utilization rate, which can provide experimental reference for the later construction of smart city.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Jararweh Y, Otoum S, AlRidhawi I (2020) Trustworthy and sustainable smart city services at the edge[J]. Sustain Cities Soc 62:102394

    Article  Google Scholar 

  2. Rahman MA, Rashid MM, Hossain MS et al (2019) Blockchain and IoT-based cognitive edge framework for sharing economy services in a smart city[J]. IEEE Access 7:18611–18621

    Article  Google Scholar 

  3. Bestak R, Smys S (2019) Big data analytics for smart cloud-fog based applications[J]. J Trends Comput Sci Smart Technol (TCSST) 1(02):74–83

    Article  Google Scholar 

  4. Jeong YS, Park JH (2019) IoT and smart city technology: Challenges, opportunities, and solutions[J]. JIPS 15(2):233–238

    Google Scholar 

  5. Teng H, Dong M, Liu Y et al (2021) A low-cost physical location discovery scheme for large-scale internet of things in smart city through joint use of vehicles and UAVs[J]. Future Gener Comput Syst 118:310–326

    Article  Google Scholar 

  6. Wang D, Zhong D, Souri A (2021) Energy management solutions in the internet of things applications: Technical analysis and new research directions[J]. Cogn Syst Res 67:33–49

    Article  Google Scholar 

  7. Fu H, Wang M, Li P et al (2019) Tracing knowledge development trajectories of the internet of things domain: A main path analysis[J]. IEEE Trans Ind Inform 15(12):6531–6540

    Article  Google Scholar 

  8. Miladinovic I, Schefer-Wenzl S (2018) Dynamic allocation of smart city applications[J]. Open J Internet Things (OJIOT) 4(1):144–149

    Google Scholar 

  9. Yassine A, Singh S, Hossain MS et al (2019) IoT big data analytics for smart homes with fog and cloud computing[J]. Future Gener Comput Syst 91:563–573

    Article  Google Scholar 

  10. Bresciani S, Ferraris A, Del Giudice M (2018) The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects[J]. Technol Forecast Soc Chang 136:331–338

    Article  Google Scholar 

  11. Qian Y, Wu D, Bao W et al (2019) The internet of things for smart cities: Technologies and applications[J]. IEEE Network 33(2):4–5

    Article  Google Scholar 

  12. Chen Y, Hu S, Mao H et al (2020) Application of the best evacuation model of deep learning in the design of public structures[J]. Image Vis Comput 102:103975

    Article  Google Scholar 

  13. Watson A, Musova Z, Machova V et al (2020) Internet of things-enabled smart cities: big data-driven decision-making processes in the knowledge-based urban economy[J]. Geopolit Hist Int Relat 12(1):94–100

    Article  Google Scholar 

  14. Lv Z, Li X, Wang W et al (2018) Government affairs service platform for smart city[J]. Future Gener Comput Syst 81:443–451

    Article  Google Scholar 

  15. Hossain SKA, Rahman MA, Hossain MA (2018) Edge computing framework for enabling situation awareness in IoT based smart city[J]. J Parallel Distrib Comput 122:226–237

    Article  Google Scholar 

  16. Giannakoulias A (2019) Cloud computing security: protecting cloud-based smart city applications[J]. J Smart Cities 2(1):41–52

    Google Scholar 

  17. Javadzadeh G, Rahmani AM (2020) Fog computing applications in smart cities: a systematic survey[J]. Wirel Netw 26(2):1433–1457

    Article  Google Scholar 

  18. Hakak S, Khan WZ, Gilkar GA et al (2020) Securing smart cities through blockchain technology: architecture, requirements, and challenges [J]. IEEE Netw 34(1):8–14

    Article  Google Scholar 

  19. Xu X, Huang Q, Yin X et al (2020) Intelligent offloading for collaborative smart city services in edge computing [J]. IEEE Internet Things J 7(9):7919–7927

    Article  Google Scholar 

  20. Lv Z, Chen D, Lou R et al (2021) Intelligent edge computing based on machine learning for smart city [J]. Futur Gener Comput Syst 115:90–99

    Article  Google Scholar 

  21. Darwish A, Hassanien AE, Elhoseny M et al (2019) The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems [J]. J Ambient Intell Humaniz Comput 10(10):4151–4166

    Article  Google Scholar 

  22. Stergiou C, Psannis KE, Kim BG et al (2018) Secure integration of IoT and cloud computing[J]. Future Gener Comput Syst 78:964–975

    Article  Google Scholar 

  23. Wu SM, Chen T, Wu YJ et al (2018) Smart cities in Taiwan: a perspective on big data applications[J]. Sustainability 10(1):106

    Article  Google Scholar 

  24. Esposito C, Ficco M, Gupta BB (2021) Blockchain-based authentication and authorization for smart city applications[J]. Inf Process Manag 58(2):102468

    Article  Google Scholar 

  25. AlZubi AA, Alarifi A, Al-Maitah M et al (2021) Multi-sensor information fusion for internet of things assisted automated guided vehicles in smart city[J]. Sustain Cities Soc 64:102539

    Article  Google Scholar 

  26. Jiang D (2020) The construction of smart city information system based on the internet of things and cloud computing[J]. Comput Commun 150:158–166

    Article  Google Scholar 

  27. Liu D, Zhen H, Kong D et al (2021) Sensors anomaly detection of industrial internet of things based on isolated forest algorithm and data compression. Sci Program 2021:234–243

    Google Scholar 

  28. Tang S, Shelden DR, Eastman CM et al (2019) A review of building information modeling (BIM) and the internet of things (IoT) devices integration: present status and future trends[J]. Autom Constr 101:127–139

    Article  Google Scholar 

  29. Al-Smadi AM, Alsmadi MK, Baareh AK et al (2019) Emergent situations for smart cities: a survey. Int J Electr Comput Eng (2088–8708) 9:103–120

    Google Scholar 

  30. Bhatti F, Shah MA, Maple C et al (2019) A novel internet of things-enabled accident detection and reporting system for smart city environments[J]. Sensors 19(9):2071

    Article  Google Scholar 

  31. Shafik W, Matinkhah SM, Ghasemzadeh M (2020) Internet of things-based energy management, challenges, and solutions in smart cities[J]. J Commun Technol Electron Comput Sci 27:1–11

    Google Scholar 

  32. Anuradha M, Jayasankar T, Prakash NB et al (2021) IoT enabled cancer prediction system to enhance the authentication and security using cloud computing[J]. Microprocess Microsyst 80:103301

    Article  Google Scholar 

  33. Chen J, Ye X, Chen M, Liang Y (2019) Bibliometric analysis of the papers on urban education. Libr Hi Tech 37(4):894–905

    Article  Google Scholar 

  34. Chen M, Liu Q, Huang S, Dang C (2020) Environmental cost control system of manufacturing enterprises using artificial intelligence based on value chain of circular economy. Enterp Inf Syst. https://doi.org/10.1080/17517575.2020.1856422

    Article  Google Scholar 

  35. Shen C-W, Min C, Wang C-C (2019) Analyzing the trend of O2O commerce by bilingual text mining on social media. Comput Hum Behav 101:474–483. https://doi.org/10.1016/j.chb.2018.09.031

    Article  Google Scholar 

  36. Wen X (2020) Using deep learning approach and IoT architecture to build the intelligent music recommendation system. Soft Comput. https://doi.org/10.1007/s00500-020-05364-y

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Scientific Research Planning Division, Shandong Labor Vocational and Technical College, Jinan, 250022, Shandong, China

    Peng Su & Mengmeng Lu

  2. College of Electronic Information Engineering, Rizhao Polytechnic, Rizhao, 276826, Shandong, China

    Yuanyuan Chen

Authors
  1. Peng Su
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Yuanyuan Chen
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Mengmeng Lu
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Peng Su.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Su, P., Chen, Y. & Lu, M. Smart city information processing under internet of things and cloud computing. J Supercomput 78, 3676–3695 (2022). https://doi.org/10.1007/s11227-021-03972-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-021-03972-5

Keywords