Skip to main content
Log in

RETRACTED ARTICLE: Research on smart city service system based on adaptive algorithm

  • Published:
Cluster Computing Aims and scope Submit manuscript

This article was retracted on 06 December 2022

This article has been updated

Abstract

The information resources of various departments are limited, resulting in duplication of information systems and extensive redundancy of hardware and software resources. In order to change the above status, catalogue management service system for smart city is introduced. In addition, the structural level of government information resources is analyzed. Cloud platform, information recommendation, string similarity matching and other technologies are used to connect and share the system information of the departmental government. In this case, the catalogue information resources are used wisely. The LPvA-Index index structure is given based on the existing Gram–Trie tree. LPvA-Index adaptively selects the appropriate length of the Prefix filter, resulting in fewer inverted tables. In addition, filters are used during reads, thus reducing the number of candidate sets and increasing the query efficiency of strings. At the same time, the length segmentation and location segmentation methods are applied to the Gram–Trie tree. Finally, the test platform is built. The efficiency of the LPvA-Index index structure and the existing LPA-Index index structure under certain conditions is tested and compared.

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

Access this article

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

Change history

References

  1. Li, Y., Dai, W., Ming, Z., et al.: Privacy protection for preventing data over-collection in smart city. IEEE Trans. Comput. 65(5), 1339–1350 (2016)

    Article  MathSciNet  Google Scholar 

  2. Paganelli, F., Turchi, S., Giuli, D.: A web of things framework for RESTful applications and its experimentation in a smart city. IEEE Syst. J. 10(4), 1412–1423 (2017)

    Article  Google Scholar 

  3. Centenaro, M., Vangelista, L., Zanella, A., et al.: Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios. IEEE Wirel. Commun. 23(5), 60–67 (2016)

    Article  Google Scholar 

  4. Datta, A.: New urban utopias of postcolonial India: ‘entrepreneurial urbanization’ in Dholera smart city, Gujarat. Dialog. Hum. Geogr. 5(1), 3–22 (2015)

    Article  Google Scholar 

  5. Chapman, L., Muller, C.L., Young, D.T., et al.: The Birmingham Urban Climate Laboratory: an open meteorological test bed and challenges of the smart city. Bull. Am. Meteorol. Soc. 96(9), 197–210 (2015)

    Article  Google Scholar 

  6. Walravens, N.: Mobile city applications for Brussels citizens: smart city trends, challenges and a reality check. Telemat. Inf. 32(2), 282–299 (2015)

    Article  Google Scholar 

  7. Hussain, A., Silva, A.L.D., Silva, A.L.D., et al.: Health and emergency-care platform for the elderly and disabled people in the smart city. J. Syst. Softw. 110, 253–263 (2015)

    Article  Google Scholar 

  8. Rossi, U.: The variegated economics and the potential politics of the smart city. Territ. Polit. Gov. 4(3), 1–17 (2016)

    Google Scholar 

  9. Schleicher, J.M., Vogler, M., Dustdar, S., et al.: Enabling a smart city application ecosystem: requirements and architectural aspects. IEEE Internet Comput. 20(2), 58–65 (2016)

    Article  Google Scholar 

  10. Franke, T., Lukowicz, P., Blanke, U.: Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform. J. Internet Serv. Appl. 6(1), 1–19 (2015)

    Article  Google Scholar 

  11. Shuai, W., Maillé, P., Pelov, A.: Charging electric vehicles in the smart city: a survey of economy-driven approaches. IEEE Trans. Intell. Transp. Syst. 17(8), 2089–2106 (2016)

    Article  Google Scholar 

  12. Lynggaard, P., Skouby, K.E.: Deploying 5G-technologies in smart city and smart home wireless sensor networks with interferences. Wirel. Pers. Commun. 81(4), 1–15 (2015)

    Article  Google Scholar 

  13. Lanza, J., Sotres, P., Galache, J.A.: Managing large amounts of data generated by a smart city internet of things deployment. Int. J. Semant. Web Inf. Syst. 12(4), 22–42 (2016)

    Article  Google Scholar 

  14. Menouar, H., Guvenc, I., Akkaya, K., et al.: UAV-enabled intelligent transportation systems for the smart city: applications and challenges. IEEE Commun. Mag. 55(3), 22–28 (2017)

    Article  Google Scholar 

  15. Shahrokni, H., Årman, L., Lazarevic, D., et al.: Implementing smart urban metabolism in the stockholm royal seaport: smart city SRS. J. Ind. Ecol. 19(5), 917–929 (2015)

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the National Natural Science Foundation of China (Grant: 111578109), the National Natural Science Foundation of China (Grant: 11111121005).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xin Gu.

Additional information

This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10586-022-03906-7

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Gu, X. RETRACTED ARTICLE: Research on smart city service system based on adaptive algorithm. Cluster Comput 22 (Suppl 4), 9445–9453 (2019). https://doi.org/10.1007/s10586-018-2266-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-018-2266-0

Keywords

Navigation