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Crowdsensing on Smart Cities: A Systematic Review

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13788))

Abstract

With the rise of the internet and the Internet of Things (IoT), the concept of a Smart City began to materialise. Crowdsensing is the process of using portable sensing devices to gather information about people’s surroundings. Furthermore, the research on these domains has pivoted from solely technology concepts to now including how they improve the quality of life of citizens and their utility.

This paper presents a systematic review aiming to identify the role and purpose of crowdsensing and the improvement of citizens’ lives in a smart city through this technique. Using the SCOPUS citation and abstract database, six papers were picked out as relevant for discussion in the review.

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Notes

  1. 1.

    http://www.prisma-statement.org.

  2. 2.

    https://www.scopus.com.

References

  1. Amaxilatis, D., Mylonas, G., Diez, L., Theodoridis, E., Gutiérrez, V., Muñoz, L.: Managing pervasive sensing campaigns via an experimentation-as-a-service platform for smart cities. Sensors (Switzerland) 18 (2018). https://doi.org/10.3390/s18072125

  2. Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., Bouvry, P.: A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities. IEEE Commun. Surv. Tut. 21, 2419–2465 (2019). https://doi.org/10.1109/COMST.2019.2914030

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  3. Foschini, L., Martuscelli, G., Montanari, R., Solimando, M.: Edge-enabled Mobile Crowdsensing to Support Effective Rewarding for Data Collection in Pandemic Events. J. Grid Comput. 19(3), 1–17 (2021). https://doi.org/10.1007/s10723-021-09569-9

    Article  Google Scholar 

  4. Ismagilova, E., Hughes, L., Dwivedi, Y.K., Raman, K.R.: Smart cities: advances in research — an information systems perspective. Int. J. Inf. Manag. 47, 88–100 (2019). https://doi.org/10.1016/j.ijinfomgt.2019.01.004,https://linkinghub.elsevier.com/retrieve/pii/S0268401218312738

  5. Nižetić, S., Šolić, P., de-Ipiña González-de Artaza, D.L., Patrono, L.: Internet of things (iot): Opportunities, issues and challenges towards a smart and sustainable future. J. Cleaner Prod. 274 (2020). https://doi.org/10.1016/j.jclepro.2020.122877

  6. Yang, M., Zhu, T., Liang, K., Zhou, W., Deng, R.H.: A blockchain-based location privacy-preserving crowdsensing system. Future Gener. Comput. Syst. 94, 408–418 (2019). https://doi.org/10.1016/j.future.2018.11.046

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Acknowledgements

This work has been supported by FCT Fundação para a Ciência e Tecnologia within the RD Units Project Scope: UIDB/00319/2020. and the FCT - Fundação para a Ciência e Tecnologia within the R &D Units Project Scope: NORTE-01-0145-FEDER-000086.

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Correspondence to Dalila Durães .

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Miranda, R. et al. (2022). Crowdsensing on Smart Cities: A Systematic Review. In: Bicharra Garcia, A.C., Ferro, M., Rodríguez Ribón, J.C. (eds) Advances in Artificial Intelligence – IBERAMIA 2022. IBERAMIA 2022. Lecture Notes in Computer Science(), vol 13788. Springer, Cham. https://doi.org/10.1007/978-3-031-22419-5_9

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  • DOI: https://doi.org/10.1007/978-3-031-22419-5_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22418-8

  • Online ISBN: 978-3-031-22419-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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